Instructions to use jslin09/LLaMA2_LegalInquryBot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jslin09/LLaMA2_LegalInquryBot with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "jslin09/LLaMA2_LegalInquryBot") - Notebooks
- Google Colab
- Kaggle
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [Causal Language Modeling](https://huggingface.co/docs/transformers/tasks/language_modeling)
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- **Language(s) (NLP):** Traditional Chinese, English
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- **License:** [Llama 2](https://ai.meta.com/llama/license/)
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- **Finetuned from model [optional]:** [Meta LlaMA 2](https://huggingface.co/meta-llama/Llama-2-7b-hf)
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### Model Sources [optional]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [Causal Language Modeling](https://huggingface.co/docs/transformers/tasks/language_modeling)
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- **Language(s) (NLP):** Traditional Chinese, English
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- **License:** [Meta Llama 2](https://ai.meta.com/llama/license/)
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- **Finetuned from model [optional]:** [Meta LlaMA 2](https://huggingface.co/meta-llama/Llama-2-7b-hf)
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### Model Sources [optional]
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