Instructions to use dada22231/13aae646-4fc7-4fa6-816d-7e99ef11d21f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/13aae646-4fc7-4fa6-816d-7e99ef11d21f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Coder-7B-Instruct") model = PeftModel.from_pretrained(base_model, "dada22231/13aae646-4fc7-4fa6-816d-7e99ef11d21f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4184da73e92a464e038cd8967ae3c13a6f808b551a1d7362df369a4a9b31025e
- Size of remote file:
- 646 MB
- SHA256:
- 9bf219203169155f0ba49692dda7b173b05527cc5ec37b5523af619e2b9d80d6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.