Instructions to use thangla01/e41d2626-f4b6-4a26-89d0-58e07e354add with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thangla01/e41d2626-f4b6-4a26-89d0-58e07e354add with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "thangla01/e41d2626-f4b6-4a26-89d0-58e07e354add") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5aec47df867f9c46189d126ffb33ff2160309178ee10690df19f133f4b503196
- Size of remote file:
- 9.82 MB
- SHA256:
- 190a1f4bffa69c552820eda51463aef2f7e460c20972c86c2407b5b9de1c488e
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