Instructions to use shibajustfor/33d25f48-d229-42d9-8bf9-63d1ed434885 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shibajustfor/33d25f48-d229-42d9-8bf9-63d1ed434885 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/workspace/input_data/unsloth/Qwen2.5-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "shibajustfor/33d25f48-d229-42d9-8bf9-63d1ed434885") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7030cf2e58dead38199a68a8cd6f6f1a609a6072d7fb38ba5f85b3bb7e21557
- Size of remote file:
- 11.4 MB
- SHA256:
- 9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
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