Instructions to use 1-lock/22b05afc-5100-4d8e-849b-39843d793e1c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/22b05afc-5100-4d8e-849b-39843d793e1c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("huggyllama/llama-7b") model = PeftModel.from_pretrained(base_model, "1-lock/22b05afc-5100-4d8e-849b-39843d793e1c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 131b43eea7299617aed16727520e4ea27bf3a69198db213b4d71444fd15fbfc4
- Size of remote file:
- 640 MB
- SHA256:
- 949dcbd30a0242483bafa481a73b675e0ffab3ce21b1088d2de31b5515edcf1a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.