1246 lines
36 KiB
YAML
1246 lines
36 KiB
YAML
- sections:
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- local: index
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title: 🤗 Transformers
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- local: installation
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title: 설치방법
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- local: quicktour
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title: 둘러보기
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title: 시작하기
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- isExpanded: false
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sections:
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- sections:
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- local: models
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title: 모델 로드하기
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- local: custom_models
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title: 사용자 정의 모델 공유하기
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- local: how_to_hack_models
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title: 모델 구성 요소 맞춤 설정하기
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- local: model_sharing
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title: 만든 모델 공유하기
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- local: modular_transformers
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title: transformers에서의 모듈성
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- local: add_new_model
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title: 🤗 Transformers에 새로운 모델을 추가하는 방법
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- local: in_translation
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title: (번역중) Documenting a model
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- local: in_translation
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title: (번역중) Customizing attention function
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title: 모델
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- sections:
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- local: fast_tokenizers
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title: 🤗 Tokenizers 라이브러리에서 토크나이저 사용하기
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- local: image_processors
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title: 이미지 프로세서
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- local: in_translation
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title: (번역중) Video processors
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- local: in_translation
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title: (번역중) Backbones
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- local: in_translation
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title: (번역중) Feature extractors
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- local: in_translation
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title: (번역중) Processors
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- local: tokenizer_summary
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title: 토크나이저 요약
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- local: pad_truncation
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title: 패딩과 잘라내기
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title: 전처리기(Preprocessors)
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title: Base classes
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- isExpanded: false
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sections:
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- sections:
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- local: pipeline_tutorial
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title: Pipeline으로 추론하기
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- local: pipeline_gradio
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title: 머신러닝 앱
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- local: pipeline_webserver
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title: 추론 웹 서버를 위한 파이프라인
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- local: add_new_pipeline
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title: 어떻게 🤗 Transformers에 파이프라인을 추가하나요?
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title: 파이프라인 API
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- sections:
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- local: llm_tutorial
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title: 대규모 언어 모델로 생성하기
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- local: generation_strategies
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title: 텍스트 생성 전략 사용자 정의
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- local: in_translation
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title: (번역중) Generation features
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- local: tasks/prompting
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title: 대규모 언어 모델 프롬프팅 가이드
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- local: llm_optims
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title: LLM 추론 최적화
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- local: in_translation
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title: (번역중) Caching
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- local: in_translation
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title: (번역중) KV cache strategies
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- local: serving
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title: 모델 서빙하기
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- local: llm_tutorial_optimization
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title: LLM을 최대한 활용하기
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- local: perplexity
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title: 고정 길이 모델의 펄플렉서티(Perplexity)
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title: 거대 언어 모델(LLMs)
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- sections:
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- local: conversations
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title: Transformers로 채팅하기
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- local: chat_templating
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title: 챗봇 템플릿 익히기
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- local: in_translation
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title: (번역중) Multimodal templates
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- local: in_translation
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title: (번역중) Template writing
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- local: in_translation
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title: (번역중) Tools and RAG
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title: 모델을 사용해 대화하기
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- sections:
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- local: tiny_agents
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title: Tiny-Agents CLI 및 MCP 도구
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title: 서빙(Serving)
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- sections:
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- local: in_translation
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title: (번역중) torch.compile
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- local: perf_infer_gpu_one
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title: 하나의 GPU를 활용한 추론
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- local: perf_infer_gpu_multi
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title: (번역중) Distributed inference
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- local: perf_infer_cpu
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title: CPU로 추론하기
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title: 최적화(Optimization)
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- local: in_translation
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title: (번역중) Agents
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- local: in_translation
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title: (번역중) Tools
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title: 추론(Inference)
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- isExpanded: false
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sections:
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- sections:
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- local: trainer
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title: 트레이너(Trainer)
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- local: training
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title: 사전 학습된 모델 미세 조정하기
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- local: optimizers
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title: 옵티마이저(Optimizers)
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- local: hpo_train
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title: Trainer API를 사용한 하이퍼파라미터 탐색
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title: Trainer API
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- sections:
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- local: accelerator_selection
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title: (번역중) Accelerator selection
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- local: accelerate
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title: 🤗 Accelerate로 분산 학습 구성하기
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- local: fsdp
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title: 완전 분할 데이터 병렬 처리
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- local: deepspeed
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title: DeepSpeed
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- local: debugging
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title: 디버깅
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- local: perf_train_cpu_many
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title: 다중 CPU에서 학습하기
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- local: perf_train_gpu_many
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title: 다중 GPU에서 학습 진행하기
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title: 분산 학습(Distributed training)
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- sections:
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- local: perf_train_gpu_one
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title: GPU
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- local: perf_train_cpu
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title: CPU에서 훈련
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- local: perf_train_special
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title: Apple 실리콘에서 PyTorch 학습
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- local: in_translation
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title: (번역중) Intel Gaudi
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- local: perf_hardware
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title: 훈련용 사용자 맞춤형 하드웨어
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title: 하드웨어
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- local: peft
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title: 🤗 PEFT로 어댑터 로드 및 학습하기
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- local: model_memory_anatomy
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title: 모델 학습 해부하기
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title: 학습(Training)
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- isExpanded: false
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sections:
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- local: in_translation
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title: (번역중) Overview
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- local: in_translation
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title: (번역중) Selecting a quantization method
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- local: in_translation
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title: (번역중) Quantization concepts
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- local: in_translation
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title: (번역중) AQLM
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- local: in_translation
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title: (번역중) AutoRound
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- local: quantization/awq
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title: AWQ
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- local: in_translation
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title: (번역중) BitNet
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- local: quantization/bitsandbytes
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title: bitsandbytes
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- local: in_translation
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title: (번역중) compressed-tensors
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- local: quantization/eetq
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title: EETQ
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- local: in_translation
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title: (번역중) FBGEMM
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- local: in_translation
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title: (번역중) Fine-grained FP8
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- local: gguf
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title: GGUF 파일들과의 상호 운용성
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- local: quantization/gptq
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title: GPTQ
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- local: in_translation
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title: (번역중) HIGGS
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- local: in_translation
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title: (번역중) HQQ
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- local: in_translation
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title: (번역중) Optimum
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- local: quantization/quanto
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title: Quanto
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- local: quantization/quark
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title: Quark
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- local: in_translation
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title: (번역중) torchao
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- local: in_translation
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title: (번역중) SpQR
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- local: in_translation
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title: (번역중) VPTQ
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- local: in_translation
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title: (번역중) Contribute
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title: 양자화(Quantization)
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- isExpanded: false
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sections:
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- local: serialization
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title: ONNX로 내보내기
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- local: executorch
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title: ExecuTorch
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- local: torchscript
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title: TorchScript로 내보내기
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title: 배포환경에 내보내기
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- isExpanded: false
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sections:
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- sections:
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- sections:
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- local: tasks/sequence_classification
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title: 텍스트 분류
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- local: tasks/token_classification
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title: 토큰 분류
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- local: tasks/question_answering
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title: 질의 응답(Question Answering)
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- local: tasks/language_modeling
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title: 인과적 언어 모델링(Causal language modeling)
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- local: tasks/masked_language_modeling
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title: 마스킹된 언어 모델링(Masked language modeling)
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- local: tasks/translation
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title: 번역
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- local: tasks/summarization
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title: 요약
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- local: tasks/multiple_choice
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title: 객관식 문제(Multiple Choice)
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title: 자연어처리
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- sections:
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- local: tasks/audio_classification
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title: 오디오 분류
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- local: tasks/asr
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title: 자동 음성 인식
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title: 오디오
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- sections:
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- local: tasks/image_classification
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title: 이미지 분류
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- local: tasks/semantic_segmentation
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title: 이미지 세그멘테이션
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- local: tasks/video_classification
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title: 비디오 분류
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- local: tasks/object_detection
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title: 객체 탐지(Object detection)
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- local: tasks/zero_shot_object_detection
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title: 제로샷(zero-shot) 객체 탐지
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- local: tasks/zero_shot_image_classification
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title: 제로샷(zero-shot) 이미지 분류
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- local: tasks/monocular_depth_estimation
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title: 단일 영상 기반 깊이 추정
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- local: tasks/image_to_image
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title: Image-to-Image
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- local: tasks/image_feature_extraction
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title: 이미지 특징 추출
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- local: tasks/mask_generation
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title: 마스크 생성
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- local: tasks/keypoint_detection
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title: 키포인트 탐지
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- local: tasks/knowledge_distillation_for_image_classification
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title: 컴퓨터 비전(이미지 분류)를 위한 지식 증류(knowledge distillation)
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title: 컴퓨터 비전
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- sections:
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- local: tasks/image_captioning
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title: 이미지 캡셔닝
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- local: tasks/document_question_answering
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title: 문서 질의 응답(Document Question Answering)
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- local: tasks/visual_question_answering
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title: 시각적 질의응답 (Visual Question Answering)
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- local: in_translation
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title: (번역중) Text to speech
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- local: tasks/idefics
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title: IDEFICS를 이용한 이미지 작업
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- local: in_translation
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title: (번역중) Image-text-to-text
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- local: in_translation
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title: (번역중) Video-text-to-text
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- local: in_translation
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title: (번역중) Visual Document Retrieval
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title: 멀티모달
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title: 태스크 레시피
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- local: run_scripts
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title: 스크립트로 학습하기
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- local: glossary
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title: Glossary
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- local: philosophy
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title: 이념과 목표
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- local: in_translation
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title: (번역중) Notebooks with examples
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- local: community
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title: 커뮤니티 리소스
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- local: troubleshooting
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title: 문제 해결
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- local: gguf
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title: GGUF 파일들과의 상호 운용성
|
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- local: modular_transformers
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title: transformers에서의 모듈성
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title: (번역중) 개발자 가이드
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- sections:
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- local: in_translation
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title: (번역중) Getting started
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- local: quantization/bitsandbytes
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title: bitsandbytes
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- local: quantization/gptq
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title: GPTQ
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- local: quantization/awq
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title: AWQ
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- local: in_translation
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title: (번역중) AQLM
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- local: in_translation
|
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title: (번역중) VPTQ
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- local: quantization/quanto
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title: Quanto
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- local: quantization/quark
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title: Quark
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- local: quantization/eetq
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title: EETQ
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- local: in_translation
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title: (번역중) HQQ
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- local: in_translation
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title: (번역중) Optimum
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- local: in_translation
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title: (번역중) Contribute new quantization method
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title: (번역중) 경량화 메소드
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- sections:
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- local: in_translation
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title: (번역중) Quantization
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- local: llm_optims
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title: LLM 추론 최적화
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- local: cache_explanation
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title: 어텐션 행렬 캐싱
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- sections:
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- local: in_translation
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title: (번역중) Methods and tools for efficient training on a single GPU
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- local: perf_train_gpu_many
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title: 다중 GPU에서 훈련 진행하기
|
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- local: deepspeed
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title: DeepSpeed
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- local: fsdp
|
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title: 완전 분할 데이터 병렬 처리
|
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- local: perf_train_cpu
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title: CPU에서 훈련
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- local: perf_train_cpu_many
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title: 다중 CPU에서 훈련하기
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- local: perf_train_special
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title: Apple 실리콘에서 PyTorch 학습
|
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- local: perf_hardware
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title: 훈련용 사용자 맞춤형 하드웨어
|
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- local: hpo_train
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title: Trainer API를 사용한 하이퍼파라미터 탐색
|
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title: (번역중) 효율적인 학습 기술들
|
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- sections:
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- local: perf_infer_cpu
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title: CPU로 추론하기
|
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- local: perf_infer_gpu_one
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title: 하나의 GPU를 활용한 추론
|
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title: 추론 최적화하기
|
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- local: debugging
|
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title: 디버깅
|
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- local: in_translation
|
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title: (번역중) Optimize inference using `torch.compile()`
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title: (번역중) 성능 및 확장성
|
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- sections:
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- local: contributing
|
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title: 🤗 Transformers에 기여하는 방법
|
|
- local: add_new_model
|
|
title: 🤗 Transformers에 새로운 모델을 추가하는 방법
|
|
- local: add_new_pipeline
|
|
title: 어떻게 🤗 Transformers에 파이프라인을 추가하나요?
|
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- local: testing
|
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title: 테스트
|
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- local: pr_checks
|
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title: Pull Request에 대한 검사
|
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title: 리소스
|
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- isExpanded: false
|
|
sections:
|
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- local: contributing
|
|
title: 🤗 Transformers에 기여하는 방법
|
|
- local: testing
|
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title: Transformers 모델 테스트하기
|
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- local: pr_checks
|
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title: Pull request 검사하기
|
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title: 기여하기
|
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- isExpanded: false
|
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sections:
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- sections:
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- local: model_doc/auto
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title: Auto Classes
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- local: in_translation
|
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title: (번역중) Backbones
|
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- local: main_classes/callback
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title: Callbacks
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- local: main_classes/configuration
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title: Configuration
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- local: main_classes/data_collator
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title: Data Collator
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- local: main_classes/logging
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title: Logging
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- local: main_classes/model
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title: Models
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- local: main_classes/text_generation
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title: 텍스트 생성
|
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- local: main_classes/onnx
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title: ONNX
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- local: main_classes/optimizer_schedules
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title: 최적화
|
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- local: main_classes/output
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title: 모델 출력
|
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- local: main_classes/peft
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title: PEFT
|
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- local: main_classes/pipelines
|
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title: 파이프라인
|
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- local: main_classes/processors
|
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title: 프로세서
|
|
- local: main_classes/quantization
|
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title: 양자화
|
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- local: in_translation
|
|
title: (번역중) Tokenizer
|
|
- local: main_classes/tokenizer
|
|
title: 토크나이저
|
|
- local: main_classes/trainer
|
|
title: Trainer
|
|
- local: in_translation
|
|
title: (번역중) DeepSpeed
|
|
- local: in_translation
|
|
title: ExecuTorch
|
|
- local: main_classes/feature_extractor
|
|
title: 피쳐 추출기
|
|
- local: in_translation
|
|
title: (번역중) Image Processor
|
|
- local: in_translation
|
|
title: (번역중) Video Processor
|
|
title: 메인 클래스
|
|
- sections:
|
|
- sections:
|
|
- local: model_doc/albert
|
|
title: ALBERT
|
|
- local: in_translation
|
|
title: Arcee
|
|
- local: in_translation
|
|
title: Bamba
|
|
- local: model_doc/bart
|
|
title: BART
|
|
- local: model_doc/barthez
|
|
title: BARThez
|
|
- local: model_doc/bartpho
|
|
title: BARTpho
|
|
- local: model_doc/bert
|
|
title: BERT
|
|
- local: in_translation
|
|
title: BertGeneration
|
|
- local: model_doc/bert-japanese
|
|
title: BertJapanese
|
|
- local: model_doc/bertweet
|
|
title: BERTweet
|
|
- local: in_translation
|
|
title: BigBird
|
|
- local: in_translation
|
|
title: BigBirdPegasus
|
|
- local: model_doc/biogpt
|
|
title: BioGpt
|
|
- local: in_translation
|
|
title: BitNet
|
|
- local: in_translation
|
|
title: Blenderbot
|
|
- local: in_translation
|
|
title: Blenderbot Small
|
|
- local: in_translation
|
|
title: BLOOM
|
|
- local: in_translation
|
|
title: BORT
|
|
- local: in_translation
|
|
title: ByT5
|
|
- local: in_translation
|
|
title: CamemBERT
|
|
- local: in_translation
|
|
title: CANINE
|
|
- local: model_doc/codegen
|
|
title: CodeGen
|
|
- local: in_translation
|
|
title: CodeLlama
|
|
- local: model_doc/cohere
|
|
title: Cohere
|
|
- local: in_translation
|
|
title: Cohere2
|
|
- local: model_doc/convbert
|
|
title: ConvBERT
|
|
- local: in_translation
|
|
title: CPM
|
|
- local: in_translation
|
|
title: CPMANT
|
|
- local: in_translation
|
|
title: CTRL
|
|
- local: model_doc/dbrx
|
|
title: DBRX
|
|
- local: model_doc/deberta
|
|
title: DeBERTa
|
|
- local: model_doc/deberta-v2
|
|
title: DeBERTa-v2
|
|
- local: model_doc/deepseek_v3
|
|
title: DeepSeek-V3
|
|
- local: in_translation
|
|
title: DialoGPT
|
|
- local: in_translation
|
|
title: DiffLlama
|
|
- local: in_translation
|
|
title: DistilBERT
|
|
- local: in_translation
|
|
title: Doge
|
|
- local: in_translation
|
|
title: dots1
|
|
- local: in_translation
|
|
title: DPR
|
|
- local: model_doc/electra
|
|
title: ELECTRA
|
|
- local: model_doc/encoder-decoder
|
|
title: Encoder Decoder Models
|
|
- local: in_translation
|
|
title: ERNIE
|
|
- local: in_translation
|
|
title: ErnieM
|
|
- local: model_doc/esm
|
|
title: ESM
|
|
- local: model_doc/exaone4
|
|
title: EXAONE-4.0
|
|
- local: in_translation
|
|
title: Falcon
|
|
- local: in_translation
|
|
title: Falcon3
|
|
- local: in_translation
|
|
title: FalconH1
|
|
- local: in_translation
|
|
title: FalconMamba
|
|
- local: in_translation
|
|
title: FLAN-T5
|
|
- local: in_translation
|
|
title: FLAN-UL2
|
|
- local: in_translation
|
|
title: FlauBERT
|
|
- local: in_translation
|
|
title: FNet
|
|
- local: in_translation
|
|
title: FSMT
|
|
- local: in_translation
|
|
title: Funnel Transformer
|
|
- local: in_translation
|
|
title: Fuyu
|
|
- local: model_doc/gemma
|
|
title: Gemma
|
|
- local: model_doc/gemma2
|
|
title: Gemma2
|
|
- local: in_translation
|
|
title: GLM
|
|
- local: in_translation
|
|
title: glm4
|
|
- local: model_doc/openai-gpt
|
|
title: GPT
|
|
- local: in_translation
|
|
title: GPT Neo
|
|
- local: in_translation
|
|
title: GPT NeoX
|
|
- local: model_doc/gpt_neox_japanese
|
|
title: GPT NeoX Japanese
|
|
- local: in_translation
|
|
title: GPT-J
|
|
- local: model_doc/gpt2
|
|
title: GPT-2
|
|
- local: in_translation
|
|
title: GPTBigCode
|
|
- local: in_translation
|
|
title: GPTSAN Japanese
|
|
- local: in_translation
|
|
title: GPTSw3
|
|
- local: in_translation
|
|
title: Granite
|
|
- local: in_translation
|
|
title: GraniteMoe
|
|
- local: in_translation
|
|
title: GraniteMoeHybrid
|
|
- local: in_translation
|
|
title: GraniteMoeShared
|
|
- local: in_translation
|
|
title: Helium
|
|
- local: in_translation
|
|
title: HerBERT
|
|
- local: in_translation
|
|
title: HGNet-V2
|
|
- local: in_translation
|
|
title: I-BERT
|
|
- local: model_doc/jamba
|
|
title: Jamba
|
|
- local: in_translation
|
|
title: JetMoe
|
|
- local: in_translation
|
|
title: Jukebox
|
|
- local: in_translation
|
|
title: LED
|
|
- local: in_translation
|
|
title: LFM2
|
|
- local: in_translation
|
|
title: LFM2-VL
|
|
- local: model_doc/llama
|
|
title: LLaMA
|
|
- local: model_doc/llama2
|
|
title: Llama2
|
|
- local: model_doc/llama3
|
|
title: Llama3
|
|
- local: in_translation
|
|
title: Longformer
|
|
- local: in_translation
|
|
title: LongT5
|
|
- local: in_translation
|
|
title: LUKE
|
|
- local: in_translation
|
|
title: M2M100
|
|
- local: in_translation
|
|
title: MADLAD-400
|
|
- local: model_doc/mamba
|
|
title: Mamba
|
|
- local: model_doc/mamba2
|
|
title: Mamba2
|
|
- local: model_doc/marian
|
|
title: MarianMT
|
|
- local: in_translation
|
|
title: MarkupLM
|
|
- local: in_translation
|
|
title: MBart and MBart-50
|
|
- local: in_translation
|
|
title: MEGA
|
|
- local: in_translation
|
|
title: MegatronBERT
|
|
- local: in_translation
|
|
title: MegatronGPT2
|
|
- local: in_translation
|
|
title: MiniMax
|
|
- local: model_doc/mistral
|
|
title: Mistral
|
|
- local: in_translation
|
|
title: Mixtral
|
|
- local: in_translation
|
|
title: mLUKE
|
|
- local: in_translation
|
|
title: MobileBERT
|
|
- local: in_translation
|
|
title: ModernBert
|
|
- local: in_translation
|
|
title: ModernBERTDecoder
|
|
- local: in_translation
|
|
title: MPNet
|
|
- local: in_translation
|
|
title: MPT
|
|
- local: in_translation
|
|
title: MRA
|
|
- local: in_translation
|
|
title: MT5
|
|
- local: in_translation
|
|
title: MVP
|
|
- local: in_translation
|
|
title: myt5
|
|
- local: in_translation
|
|
title: Nemotron
|
|
- local: in_translation
|
|
title: NEZHA
|
|
- local: in_translation
|
|
title: NLLB
|
|
- local: in_translation
|
|
title: NLLB-MoE
|
|
- local: in_translation
|
|
title: Nyströmformer
|
|
- local: in_translation
|
|
title: OLMo
|
|
- local: in_translation
|
|
title: OLMo2
|
|
- local: in_translation
|
|
title: OLMoE
|
|
- local: in_translation
|
|
title: Open-Llama
|
|
- local: in_translation
|
|
title: OPT
|
|
- local: in_translation
|
|
title: Pegasus
|
|
- local: in_translation
|
|
title: PEGASUS-X
|
|
- local: in_translation
|
|
title: Persimmon
|
|
- local: in_translation
|
|
title: Phi
|
|
- local: in_translation
|
|
title: Phi-3
|
|
- local: in_translation
|
|
title: PhiMoE
|
|
- local: in_translation
|
|
title: PhoBERT
|
|
- local: in_translation
|
|
title: PLBart
|
|
- local: in_translation
|
|
title: ProphetNet
|
|
- local: in_translation
|
|
title: QDQBert
|
|
- local: in_translation
|
|
title: Qwen2
|
|
- local: in_translation
|
|
title: Qwen2MoE
|
|
- local: in_translation
|
|
title: Qwen3
|
|
- local: in_translation
|
|
title: Qwen3MoE
|
|
- local: model_doc/rag
|
|
title: RAG
|
|
- local: in_translation
|
|
title: REALM
|
|
- local: in_translation
|
|
title: RecurrentGemma
|
|
- local: in_translation
|
|
title: Reformer
|
|
- local: in_translation
|
|
title: RemBERT
|
|
- local: in_translation
|
|
title: RetriBERT
|
|
- local: model_doc/roberta
|
|
title: RoBERTa
|
|
- local: in_translation
|
|
title: RoBERTa-PreLayerNorm
|
|
- local: in_translation
|
|
title: RoCBert
|
|
- local: in_translation
|
|
title: RoFormer
|
|
- local: in_translation
|
|
title: RWKV
|
|
- local: in_translation
|
|
title: Splinter
|
|
- local: in_translation
|
|
title: SqueezeBERT
|
|
- local: in_translation
|
|
title: StableLm
|
|
- local: in_translation
|
|
title: Starcoder2
|
|
- local: in_translation
|
|
title: SwitchTransformers
|
|
- local: in_translation
|
|
title: T5
|
|
- local: in_translation
|
|
title: T5Gemma
|
|
- local: in_translation
|
|
title: T5v1.1
|
|
- local: in_translation
|
|
title: TAPEX
|
|
- local: in_translation
|
|
title: Transformer XL
|
|
- local: in_translation
|
|
title: UL2
|
|
- local: in_translation
|
|
title: UMT5
|
|
- local: in_translation
|
|
title: X-MOD
|
|
- local: in_translation
|
|
title: XGLM
|
|
- local: in_translation
|
|
title: XLM
|
|
- local: in_translation
|
|
title: XLM-ProphetNet
|
|
- local: in_translation
|
|
title: XLM-RoBERTa
|
|
- local: in_translation
|
|
title: XLM-RoBERTa-XL
|
|
- local: in_translation
|
|
title: XLM-V
|
|
- local: in_translation
|
|
title: XLNet
|
|
- local: in_translation
|
|
title: YOSO
|
|
- local: in_translation
|
|
title: Zamba
|
|
- local: in_translation
|
|
title: Zamba2
|
|
title: 텍스트 모델
|
|
- sections:
|
|
- local: in_translation
|
|
title: Aimv2
|
|
- local: in_translation
|
|
title: BEiT
|
|
- local: in_translation
|
|
title: BiT
|
|
- local: in_translation
|
|
title: Conditional DETR
|
|
- local: in_translation
|
|
title: ConvNeXT
|
|
- local: in_translation
|
|
title: ConvNeXTV2
|
|
- local: in_translation
|
|
title: CvT
|
|
- local: in_translation
|
|
title: D-FINE
|
|
- local: in_translation
|
|
title: DAB-DETR
|
|
- local: in_translation
|
|
title: DeepSeek-V2
|
|
- local: in_translation
|
|
title: Deformable DETR
|
|
- local: in_translation
|
|
title: DeiT
|
|
- local: in_translation
|
|
title: Depth Anything
|
|
- local: in_translation
|
|
title: Depth Anything V2
|
|
- local: in_translation
|
|
title: DepthPro
|
|
- local: in_translation
|
|
title: DETA
|
|
- local: in_translation
|
|
title: DETR
|
|
- local: in_translation
|
|
title: DiNAT
|
|
- local: in_translation
|
|
title: DINOV2
|
|
- local: in_translation
|
|
title: DINOv2 with Registers
|
|
- local: in_translation
|
|
title: DiT
|
|
- local: in_translation
|
|
title: DPT
|
|
- local: in_translation
|
|
title: EfficientFormer
|
|
- local: in_translation
|
|
title: EfficientNet
|
|
- local: in_translation
|
|
title: EoMT
|
|
- local: in_translation
|
|
title: FocalNet
|
|
- local: in_translation
|
|
title: GLPN
|
|
- local: in_translation
|
|
title: Hiera
|
|
- local: in_translation
|
|
title: I-JEPA
|
|
- local: in_translation
|
|
title: ImageGPT
|
|
- local: in_translation
|
|
title: LeViT
|
|
- local: in_translation
|
|
title: LightGlue
|
|
- local: in_translation
|
|
title: Mask2Former
|
|
- local: in_translation
|
|
title: MaskFormer
|
|
- local: in_translation
|
|
title: MLCD
|
|
- local: in_translation
|
|
title: MobileNetV1
|
|
- local: in_translation
|
|
title: MobileNetV2
|
|
- local: in_translation
|
|
title: MobileViT
|
|
- local: in_translation
|
|
title: MobileViTV2
|
|
- local: in_translation
|
|
title: NAT
|
|
- local: in_translation
|
|
title: PoolFormer
|
|
- local: in_translation
|
|
title: Prompt Depth Anything
|
|
- local: in_translation
|
|
title: Pyramid Vision Transformer (PVT)
|
|
- local: in_translation
|
|
title: Pyramid Vision Transformer v2 (PVTv2)
|
|
- local: in_translation
|
|
title: RegNet
|
|
- local: in_translation
|
|
title: ResNet
|
|
- local: in_translation
|
|
title: RT-DETR
|
|
- local: in_translation
|
|
title: RT-DETRv2
|
|
- local: in_translation
|
|
title: SegFormer
|
|
- local: in_translation
|
|
title: SegGpt
|
|
- local: in_translation
|
|
title: SuperGlue
|
|
- local: in_translation
|
|
title: SuperPoint
|
|
- local: in_translation
|
|
title: SwiftFormer
|
|
- local: model_doc/swin
|
|
title: Swin Transformer
|
|
- local: model_doc/swinv2
|
|
title: Swin Transformer V2
|
|
- local: model_doc/swin2sr
|
|
title: Swin2SR
|
|
- local: in_translation
|
|
title: Table Transformer
|
|
- local: in_translation
|
|
title: TextNet
|
|
- local: in_translation
|
|
title: Timm Wrapper
|
|
- local: in_translation
|
|
title: UperNet
|
|
- local: in_translation
|
|
title: VAN
|
|
- local: model_doc/vit
|
|
title: Vision Transformer (ViT)
|
|
- local: in_translation
|
|
title: ViT Hybrid
|
|
- local: in_translation
|
|
title: ViTDet
|
|
- local: in_translation
|
|
title: ViTMAE
|
|
- local: in_translation
|
|
title: ViTMatte
|
|
- local: in_translation
|
|
title: ViTMSN
|
|
- local: in_translation
|
|
title: ViTPose
|
|
- local: in_translation
|
|
title: YOLOS
|
|
- local: in_translation
|
|
title: ZoeDepth
|
|
title: 비전 모델
|
|
- sections:
|
|
- local: in_translation
|
|
title: Audio Spectrogram Transformer
|
|
- local: in_translation
|
|
title: Bark
|
|
- local: in_translation
|
|
title: CLAP
|
|
- local: in_translation
|
|
title: CSM
|
|
- local: in_translation
|
|
title: dac
|
|
- local: in_translation
|
|
title: Dia
|
|
- local: in_translation
|
|
title: EnCodec
|
|
- local: in_translation
|
|
title: FastSpeech2Conformer
|
|
- local: in_translation
|
|
title: GraniteSpeech
|
|
- local: in_translation
|
|
title: Hubert
|
|
- local: in_translation
|
|
title: Kyutai Speech-To-Text
|
|
- local: in_translation
|
|
title: MCTCT
|
|
- local: in_translation
|
|
title: Mimi
|
|
- local: in_translation
|
|
title: MMS
|
|
- local: in_translation
|
|
title: Moonshine
|
|
- local: in_translation
|
|
title: Moshi
|
|
- local: in_translation
|
|
title: MusicGen
|
|
- local: in_translation
|
|
title: MusicGen Melody
|
|
- local: in_translation
|
|
title: Pop2Piano
|
|
- local: in_translation
|
|
title: Seamless-M4T
|
|
- local: in_translation
|
|
title: SeamlessM4T-v2
|
|
- local: in_translation
|
|
title: SEW
|
|
- local: in_translation
|
|
title: SEW-D
|
|
- local: in_translation
|
|
title: Speech2Text
|
|
- local: in_translation
|
|
title: Speech2Text2
|
|
- local: in_translation
|
|
title: SpeechT5
|
|
- local: in_translation
|
|
title: UniSpeech
|
|
- local: in_translation
|
|
title: UniSpeech-SAT
|
|
- local: in_translation
|
|
title: UnivNet
|
|
- local: in_translation
|
|
title: VITS
|
|
- local: in_translation
|
|
title: Wav2Vec2
|
|
- local: in_translation
|
|
title: Wav2Vec2-BERT
|
|
- local: in_translation
|
|
title: Wav2Vec2-Conformer
|
|
- local: in_translation
|
|
title: Wav2Vec2Phoneme
|
|
- local: in_translation
|
|
title: WavLM
|
|
- local: model_doc/whisper
|
|
title: Whisper
|
|
- local: model_doc/xclip
|
|
title: xclip
|
|
- local: in_translation
|
|
title: XLS-R
|
|
- local: in_translation
|
|
title: XLSR-Wav2Vec2
|
|
title: 오디오 모델
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- sections:
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- local: model_doc/timesformer
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title: TimeSformer
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|
- local: in_translation
|
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title: V-JEPA 2
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- local: in_translation
|
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title: VideoMAE
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- local: model_doc/vivit
|
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title: ViViT
|
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title: 비디오 모델
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|
- sections:
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|
- local: in_translation
|
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title: ALIGN
|
|
- local: model_doc/altclip
|
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title: AltCLIP
|
|
- local: in_translation
|
|
title: Aria
|
|
- local: in_translation
|
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title: AyaVision
|
|
- local: model_doc/blip
|
|
title: BLIP
|
|
- local: model_doc/blip-2
|
|
title: BLIP-2
|
|
- local: in_translation
|
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title: BridgeTower
|
|
- local: in_translation
|
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title: BROS
|
|
- local: model_doc/chameleon
|
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title: Chameleon
|
|
- local: in_translation
|
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title: Chinese-CLIP
|
|
- local: model_doc/clip
|
|
title: CLIP
|
|
- local: model_doc/clipseg
|
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title: CLIPSeg
|
|
- local: in_translation
|
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title: CLVP
|
|
- local: in_translation
|
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title: ColPali
|
|
- local: in_translation
|
|
title: ColQwen2
|
|
- local: in_translation
|
|
title: Data2Vec
|
|
- local: in_translation
|
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title: DePlot
|
|
- local: in_translation
|
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title: Donut
|
|
- local: in_translation
|
|
title: Emu3
|
|
- local: in_translation
|
|
title: FLAVA
|
|
- local: model_doc/gemma3
|
|
title: Gemma3
|
|
- local: in_translation
|
|
title: Gemma3n
|
|
- local: in_translation
|
|
title: GIT
|
|
- local: in_translation
|
|
title: glm4v
|
|
- local: in_translation
|
|
title: GOT-OCR2
|
|
- local: in_translation
|
|
title: GraniteVision
|
|
- local: in_translation
|
|
title: (번역중) GIT
|
|
- local: model_doc/grounding-dino
|
|
title: Grounding DINO
|
|
- local: in_translation
|
|
title: GroupViT
|
|
- local: in_translation
|
|
title: IDEFICS
|
|
- local: in_translation
|
|
title: Idefics2
|
|
- local: in_translation
|
|
title: Idefics3
|
|
- local: in_translation
|
|
title: InstructBLIP
|
|
- local: in_translation
|
|
title: InstructBlipVideo
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|
- local: in_translation
|
|
title: InternVL
|
|
- local: in_translation
|
|
title: Janus
|
|
- local: in_translation
|
|
title: KOSMOS-2
|
|
- local: in_translation
|
|
title: LayoutLM
|
|
- local: in_translation
|
|
title: LayoutLMV2
|
|
- local: in_translation
|
|
title: LayoutLMV3
|
|
- local: in_translation
|
|
title: LayoutXLM
|
|
- local: in_translation
|
|
title: LiLT
|
|
- local: in_translation
|
|
title: Llama4
|
|
- local: in_translation
|
|
title: Llava
|
|
- local: in_translation
|
|
title: LLaVA-NeXT
|
|
- local: in_translation
|
|
title: LLaVa-NeXT-Video
|
|
- local: in_translation
|
|
title: LLaVA-Onevision
|
|
- local: in_translation
|
|
title: LXMERT
|
|
- local: in_translation
|
|
title: MatCha
|
|
- local: in_translation
|
|
title: MGP-STR
|
|
- local: in_translation
|
|
title: Mistral3
|
|
- local: in_translation
|
|
title: mllama
|
|
- local: in_translation
|
|
title: Nougat
|
|
- local: in_translation
|
|
title: OmDet-Turbo
|
|
- local: in_translation
|
|
title: OneFormer
|
|
- local: in_translation
|
|
title: OWL-ViT
|
|
- local: in_translation
|
|
title: OWLv2
|
|
- local: model_doc/paligemma
|
|
title: PaliGemma
|
|
- local: in_translation
|
|
title: Perceiver
|
|
- local: in_translation
|
|
title: PerceptionLM
|
|
- local: in_translation
|
|
title: Phi4 Multimodal
|
|
- local: in_translation
|
|
title: Pix2Struct
|
|
- local: in_translation
|
|
title: Pixtral
|
|
- local: in_translation
|
|
title: Qwen2.5-Omni
|
|
- local: in_translation
|
|
title: Qwen2.5-VL
|
|
- local: in_translation
|
|
title: Qwen2Audio
|
|
- local: model_doc/qwen2_vl
|
|
title: Qwen2VL
|
|
- local: in_translation
|
|
title: Segment Anything
|
|
- local: in_translation
|
|
title: Segment Anything High Quality
|
|
- local: in_translation
|
|
title: ShieldGemma2
|
|
- local: model_doc/siglip
|
|
title: SigLIP
|
|
- local: in_translation
|
|
title: SigLIP2
|
|
- local: in_translation
|
|
title: SmolLM3
|
|
- local: model_doc/smolvlm
|
|
title: 소형 비전 언어 모델
|
|
- local: in_translation
|
|
title: Speech Encoder Decoder Models
|
|
- local: in_translation
|
|
title: TAPAS
|
|
- local: in_translation
|
|
title: TrOCR
|
|
- local: in_translation
|
|
title: TVLT
|
|
- local: model_doc/tvp
|
|
title: TVP
|
|
- local: in_translation
|
|
title: UDOP
|
|
- local: in_translation
|
|
title: VideoLlava
|
|
- local: in_translation
|
|
title: ViLT
|
|
- local: in_translation
|
|
title: VipLlava
|
|
- local: in_translation
|
|
title: Vision Encoder Decoder Models
|
|
- local: in_translation
|
|
title: Vision Text Dual Encoder
|
|
- local: in_translation
|
|
title: VisualBERT
|
|
- local: in_translation
|
|
title: Voxtral
|
|
- local: in_translation
|
|
title: X-CLIP
|
|
title: 멀티모달 모델
|
|
- sections:
|
|
- local: in_translation
|
|
title: Decision Transformer
|
|
- local: model_doc/trajectory_transformer
|
|
title: Trajectory Transformer
|
|
title: 강화학습 모델
|
|
- sections:
|
|
- local: model_doc/autoformer
|
|
title: Autoformer
|
|
- local: model_doc/informer
|
|
title: Informer
|
|
- local: model_doc/patchtsmixer
|
|
title: PatchTSMixer
|
|
- local: model_doc/patchtst
|
|
title: PatchTST
|
|
- local: model_doc/time_series_transformer
|
|
title: Time Series Transformer
|
|
- local: in_translation
|
|
title: TimesFM
|
|
title: 시게열 모델
|
|
- sections:
|
|
- local: model_doc/graphormer
|
|
title: Graphormer
|
|
title: 그래프 모델
|
|
title: 모델
|
|
- sections:
|
|
- local: internal/modeling_utils
|
|
title: 사용자 정의 레이어 및 유틸리티
|
|
- local: in_translation
|
|
title: (번역중) Utilities for Model Debugging
|
|
- local: internal/pipelines_utils
|
|
title: 파이프라인을 위한 유틸리티
|
|
- local: internal/tokenization_utils
|
|
title: 토크나이저를 위한 유틸리티
|
|
- local: internal/trainer_utils
|
|
title: Trainer를 위한 유틸리티
|
|
- local: internal/generation_utils
|
|
title: 생성을 위한 유틸리티
|
|
- local: internal/image_processing_utils
|
|
title: 이미지 프로세서를 위한 유틸리티
|
|
- local: internal/audio_utils
|
|
title: 오디오 처리를 위한 유틸리티
|
|
- local: internal/file_utils
|
|
title: 일반 유틸리티
|
|
- local: in_translation
|
|
title: (번역중) Importing Utilities
|
|
- local: internal/time_series_utils
|
|
title: 시계열을 위한 유틸리티
|
|
title: 내부 헬퍼(Internal helpers)
|
|
- sections:
|
|
- local: in_translation
|
|
title: (번역중)Environment Variables
|
|
title: Reference
|
|
title: API |