Instructions to use Neupane9Sujal/llama-gptq-medical-finetuned-chatbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Neupane9Sujal/llama-gptq-medical-finetuned-chatbot with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Llama-2-7b-Chat-GPTQ") model = PeftModel.from_pretrained(base_model, "Neupane9Sujal/llama-gptq-medical-finetuned-chatbot") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05fd78efa4d61019d9f69808746071ed1dffbae98c93146d0606a59b62938fc9
- Size of remote file:
- 320 MB
- SHA256:
- 15b74514f3b0ba1bce79f740c3d5642f7e07f5ecbcdce6654fbea70a52665abe
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