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:
- 2e107d76a93f819fadbcd17355ab980563e9164bca3ca8dc3e260717eb5f068a
- Size of remote file:
- 6.78 kB
- SHA256:
- b4b40a5eb166bc245a53298d60b50ec76e9ebdd10373402fff1aec43def8ce1c
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