初始化项目，由ModelHub XC社区提供模型

Model: pythainlp/KhanomTanLLM-1B
Source: Original Platform

README.md

@@ -0,0 +1,48 @@
+---
+license: apache-2.0
+language:
+- en
+- th
+library_name: transformers
+pipeline_tag: text-generation
+datasets:
+- wannaphong/KhanomTanLLM-pretrained-dataset
+---
+# KhanomTan LLM (1B)
+
+KhanomTan LLM is a bilingual language model trained in Thai and English from open source dataset by PyThaiNLP. We train the model from public dataset only. We public the dataset, source code, and model.
+
+
+Repository: https://github.com/pythainlp/KhanomTanLLM
+
+
+Codename: numfa-v2
+
+## Model Details
+
+### Model Description
+
+The model was trained by [easylm](https://github.com/young-geng/EasyLM)
+
+## Acknowledgements
+
+Research supported with Cloud TPUs from Google's [TPU Research Cloud](https://sites.research.google/trc/about/) (TRC). We use TPU4-64 for training model about 4 days.
+
+Thank you [TPU Research Cloud](https://sites.research.google/trc/about/) and [EasyLM project](https://github.com/young-geng/EasyLM)! We use EasyLM for pretraining model.
+
+## How to use
+
+**Example**
+
+```python
+# !pip install accelerate sentencepiece transformers bitsandbytes
+import torch
+from transformers import pipeline
+
+pipe = pipeline("text-generation", model="numfa/numfa_v2-1b", torch_dtype=torch.bfloat16, device_map="auto")
+
+# We use the tokenizer's chat template to format each message - see https://huggingface.co/docs/transformers/main/en/chat_templating
+
+outputs = pipe("test is", max_new_tokens=300, do_sample=True, temperature=0.9, top_k=50, top_p=0.95, no_repeat_ngram_size=2,typical_p=1.)
+print(outputs[0]["generated_text"])
+```