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:
- c3192e6151d852e4d652ea368c5bc9166ae15f5a404f1ccc7754e7fd179d9c36
- Size of remote file:
- 6.84 kB
- SHA256:
- 9995427a42884e5b855878ee7cc4c444d9d98d3f7c2e4ef910170cd47e7c05b4
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