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:
- 29ec5467d703f2bdbbda820fbce7b27b795f07bdf6e7262f35058448a2907a69
- Size of remote file:
- 145 MB
- SHA256:
- 651c47017dfbb46be77fc0cb7a394673ec710f1e275af350c26549061078444e
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