Instructions to use error577/644790cb-338f-4d72-96ed-ba76929750e2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/644790cb-338f-4d72-96ed-ba76929750e2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-360M") model = PeftModel.from_pretrained(base_model, "error577/644790cb-338f-4d72-96ed-ba76929750e2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8556ebfea5f325697cd8ce14e9240eefc1190c7d3c6a1c5510c306ebdcc0da7c
- Size of remote file:
- 6.71 kB
- SHA256:
- a741e72bacd84b0c15dc8a07beb140d8c6c1964ebcb66c5883aa0e59a79b785c
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