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:
- d2dd20198f5ef256eb4b2cd2bb70c15cd39a8af337ab2f6c09297c34e8c9c170
- Size of remote file:
- 14.2 kB
- SHA256:
- 5460dd61177f5fc7e383191e2034f13a0c0568a5205fe8902a361347170f6e0d
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