Instructions to use aleegis12/e48b5424-1e84-4f53-947b-bc571a8410f2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis12/e48b5424-1e84-4f53-947b-bc571a8410f2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "aleegis12/e48b5424-1e84-4f53-947b-bc571a8410f2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac148f7448487f441871b5c6b68b5538f39be4d99c7fa6025ef20a5486a76871
- Size of remote file:
- 6.78 kB
- SHA256:
- 77800da1222bdbaf345f705eefd746f3d17d2ca288e3a0bcb17ce520ad082e10
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.