Instructions to use 316usman/Feb16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 316usman/Feb16 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "316usman/Feb16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76b05cc86f7ad43251efb5a2e02c37dc46a24a32e6eb8f641ba156ee441a2926
- Size of remote file:
- 4.66 kB
- SHA256:
- beeb8982fbdb22ab6446ac906dd947f4706cca827cbadec5390191335dcda296
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.