Instructions to use daje/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daje/model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "daje/model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01b8bcaa58fb64409a01f92aec47c3815af674a86394abcbc1576210c207dd55
- Size of remote file:
- 2.68 GB
- SHA256:
- 146fed533f7e614fa3aecf3d5b24c671c10da65609964d9a072214834c818292
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.