Instructions to use error577/518dcba8-e088-4c44-b0f1-dd6f366ce2d9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/518dcba8-e088-4c44-b0f1-dd6f366ce2d9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-1.7B") model = PeftModel.from_pretrained(base_model, "error577/518dcba8-e088-4c44-b0f1-dd6f366ce2d9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1320d410afd81cd162a69c12c1ac1f66ab88b6946c11e5e240d34c17f5357df7
- Size of remote file:
- 145 MB
- SHA256:
- 7b9359416f21eaec293471d65c105dd24629e2301feb5c6ce8016e6259f560b1
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