Instructions to use 1-lock/8b31fb2b-8aa0-46dd-a1d7-4bb72ccbd49e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/8b31fb2b-8aa0-46dd-a1d7-4bb72ccbd49e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "1-lock/8b31fb2b-8aa0-46dd-a1d7-4bb72ccbd49e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed40b6dc46f7f4e5297d0cea93b3dc760096bd353cf59386149c56e4c3261e59
- Size of remote file:
- 148 MB
- SHA256:
- c8d09a40f0f079a10711ac5e5e6c30748d0c429c6f65d05f6eb880bee88f8e27
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.