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README.md
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<!-- Provide a longer summary of what this model is. -->
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-
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-
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- **Developed by:** Fangyuan Yu
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- **Funded by Hardeep:** [Temus]
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- **Language(s) (NLP):** Thai, English
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- **License:** MIT
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- **Finetuned from model [optional]:** [Typhoon-7B]
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## Uses
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from peft import PeftModel, PeftConfig
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from transformers import AutoModelForCausalLM
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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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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<!-- Provide a longer summary of what this model is. -->
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```yaml
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- **Developed by:** Fangyuan Yu
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- **Funded by Hardeep:** [Temus]
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- **Language(s) (NLP):** Thai, English
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- **License:** MIT
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- **Finetuned from model [optional]:** [Typhoon-7B]
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```
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## Uses
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```python
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from peft import PeftModel, PeftConfig
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from transformers import AutoModelForCausalLM
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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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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