Instructions to use cilooor/1c889fdf-2371-4402-86dc-73619ad226c6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cilooor/1c889fdf-2371-4402-86dc-73619ad226c6 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "cilooor/1c889fdf-2371-4402-86dc-73619ad226c6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bdfedd4347941e5908504b64d2078007433e98d4127edeaf94cc8b2e6a8527cd
- Size of remote file:
- 78.3 MB
- SHA256:
- 76bfbb5241cd87ace7c8576393aad90f05aa035c627de124e7c01b015b3e3c8e
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