初始化项目，由ModelHub XC社区提供模型
Model: CloneBO/OracleLM Source: Original Platform
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ModelHub XC
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README.md
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---
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library_name: transformers
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tags: []
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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config.json
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{
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"_name_or_path": "/scratch/yk2516/repos/bighat/bighat_antibody_design/exp/llm_heavy_chain_model_llama2_oracle/2024-05-07_13-35-09",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 512,
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"initializer_range": 0.02,
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"intermediate_size": 2048,
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"max_position_embeddings": 2048,
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"model_type": "llama",
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"num_attention_heads": 4,
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"num_hidden_layers": 12,
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"num_key_value_heads": 4,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.37.2",
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"use_cache": true,
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"use_clone_attention": false,
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"vocab_size": 29
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.37.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d41614f50af075f49bdc72a7a70cc0fcd1412c9a72d41db3efd2f5d16e643400
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size 201508760
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special_tokens_map.json
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{
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"bos_token": "[CLS]",
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"cls_token": "[CLS]",
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"eos_token": "[SEP]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer.json
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{
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"version": "1.0",
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"truncation": null,
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"added_tokens": [
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"content": "[PAD]",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 1,
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"content": "[UNK]",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"id": 2,
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"rstrip": false,
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"normalized": false,
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"special": true
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}
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],
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"normalizer": {
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"type": "BertNormalizer",
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"clean_text": true,
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"handle_chinese_chars": true,
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"strip_accents": null,
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"lowercase": false
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"pre_tokenizer": {
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"type": "BertPreTokenizer"
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},
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"post_processor": {
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"type": "TemplateProcessing",
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},
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{
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"tokens": [
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"[CLS]"
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||||||
|
"[SEP]": {
|
||||||
|
"id": "[SEP]",
|
||||||
|
"ids": [
|
||||||
|
3
|
||||||
|
],
|
||||||
|
"tokens": [
|
||||||
|
"[SEP]"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"decoder": {
|
||||||
|
"type": "WordPiece",
|
||||||
|
"prefix": "##",
|
||||||
|
"cleanup": true
|
||||||
|
},
|
||||||
|
"model": {
|
||||||
|
"type": "WordPiece",
|
||||||
|
"unk_token": "[UNK]",
|
||||||
|
"continuing_subword_prefix": "##",
|
||||||
|
"max_input_chars_per_word": 100,
|
||||||
|
"vocab": {
|
||||||
|
"[PAD]": 0,
|
||||||
|
"[UNK]": 1,
|
||||||
|
"[CLS]": 2,
|
||||||
|
"[SEP]": 3,
|
||||||
|
"[MASK]": 4,
|
||||||
|
"A": 5,
|
||||||
|
"C": 6,
|
||||||
|
"D": 7,
|
||||||
|
"E": 8,
|
||||||
|
"F": 9,
|
||||||
|
"G": 10,
|
||||||
|
"H": 11,
|
||||||
|
"I": 12,
|
||||||
|
"K": 13,
|
||||||
|
"L": 14,
|
||||||
|
"M": 15,
|
||||||
|
"N": 16,
|
||||||
|
"P": 17,
|
||||||
|
"Q": 18,
|
||||||
|
"R": 19,
|
||||||
|
"S": 20,
|
||||||
|
"T": 21,
|
||||||
|
"V": 22,
|
||||||
|
"W": 23,
|
||||||
|
"Y": 24,
|
||||||
|
"-": 25,
|
||||||
|
"[ClSep]": 26,
|
||||||
|
"[AbHC]": 27,
|
||||||
|
"[AbLC]": 28
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
59
tokenizer_config.json
Normal file
59
tokenizer_config.json
Normal file
@@ -0,0 +1,59 @@
|
|||||||
|
{
|
||||||
|
"added_tokens_decoder": {
|
||||||
|
"0": {
|
||||||
|
"content": "[PAD]",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"1": {
|
||||||
|
"content": "[UNK]",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"2": {
|
||||||
|
"content": "[CLS]",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"3": {
|
||||||
|
"content": "[SEP]",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"4": {
|
||||||
|
"content": "[MASK]",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"bos_token": "[CLS]",
|
||||||
|
"clean_up_tokenization_spaces": true,
|
||||||
|
"cls_token": "[CLS]",
|
||||||
|
"do_basic_tokenize": true,
|
||||||
|
"do_lower_case": false,
|
||||||
|
"eos_token": "[SEP]",
|
||||||
|
"mask_token": "[MASK]",
|
||||||
|
"model_max_length": 1000000000000000019884624838656,
|
||||||
|
"never_split": null,
|
||||||
|
"pad_token": "[PAD]",
|
||||||
|
"sep_token": "[SEP]",
|
||||||
|
"strip_accents": null,
|
||||||
|
"tokenize_chinese_chars": true,
|
||||||
|
"tokenizer_class": "BertTokenizer",
|
||||||
|
"unk_token": "[UNK]"
|
||||||
|
}
|
||||||
Reference in New Issue
Block a user