Instructions to use compressa-ai/Meta-Llama-3-8B-Instruct-medchat-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use compressa-ai/Meta-Llama-3-8B-Instruct-medchat-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "compressa-ai/Meta-Llama-3-8B-Instruct-medchat-LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eda596680b9b9aff5819bf46af9c88c5967e3df8734214272baa69c118f55976
- Size of remote file:
- 1.06 kB
- SHA256:
- 10a5c0903aa41376be2e7e08598d576931d26fb1dedc7d0c5140f9d591e1debc
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