Instructions to use error577/c06956a3-fe98-497b-b43e-8ab5d5a0d214 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/c06956a3-fe98-497b-b43e-8ab5d5a0d214 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-135M") model = PeftModel.from_pretrained(base_model, "error577/c06956a3-fe98-497b-b43e-8ab5d5a0d214") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6788fed9402530079a28900dc7287214a39b90a6dcdc40f6dd58e728f03a77b
- Size of remote file:
- 78.2 MB
- SHA256:
- 3ab4edc5c4381ff6ee32d6af9f893132e746f99041fd175e7f1acc2ada04f203
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