Instructions to use 1-lock/2828f76a-ebcb-454f-a481-ac9c8ecf27ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/2828f76a-ebcb-454f-a481-ac9c8ecf27ca with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Math-7B-Instruct") model = PeftModel.from_pretrained(base_model, "1-lock/2828f76a-ebcb-454f-a481-ac9c8ecf27ca") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c59c0431d7871b0bb39fab75721edc75095db29c7f624f4592c518f8cd2a46bd
- Size of remote file:
- 323 MB
- SHA256:
- 703b40531e397eeb1e01f905c00344dca0cc227e90acfefd6ad3f8b18eafa770
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.