Instructions to use aleegis/01af4054-eff3-4750-9907-acf71c5d8fec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis/01af4054-eff3-4750-9907-acf71c5d8fec with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("sethuiyer/Medichat-Llama3-8B") model = PeftModel.from_pretrained(base_model, "aleegis/01af4054-eff3-4750-9907-acf71c5d8fec") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0eb04fe72da5dffb66994d5b190c6f379c34e017cb1a489b4a1d004d295f0962
- Size of remote file:
- 336 MB
- SHA256:
- f279a0a90fbca6952501ce141a5334767aaccab0ed6119e9194839478e6a67b5
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