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:
- fb4f83bb882ccec86ca228527a9270edf8e3a8c167579c315227a580ae427ca2
- Size of remote file:
- 336 MB
- SHA256:
- 84836aadd5b7668801f43f94256af1462d4f6fcd0638b1078edbab3752655c83
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