Instructions to use denbeo/3887c7f2-2f55-46bb-947c-a6f7948dbc31 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use denbeo/3887c7f2-2f55-46bb-947c-a6f7948dbc31 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "denbeo/3887c7f2-2f55-46bb-947c-a6f7948dbc31") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74944a5ccaa465369a0d233ed06d34ba573d826e77b29cec9605fe633b336a2e
- Size of remote file:
- 6.78 kB
- SHA256:
- c94e285b8828cb2d80cfb6a43e92a04245bfbf88900479ecf3015f535c54997f
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