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:
- 2073d22126cd9c277f2d292eb40b9b3024109080fe63489231c21986171ef0b4
- Size of remote file:
- 157 MB
- SHA256:
- ed0bd8fdf5984071990644b8eec8004359a5e415a1d0bbb49b1dd22907097ff1
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