Instructions to use prxy5604/b0a35138-bb92-483e-80a2-452453272d2c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5604/b0a35138-bb92-483e-80a2-452453272d2c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "prxy5604/b0a35138-bb92-483e-80a2-452453272d2c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6cb03ee6fa0af85f97b9a651f8d343520f8fc73a27335934bc11b90966f0304
- Size of remote file:
- 78.3 MB
- SHA256:
- 6f617dd75217dfa0e4f792987e35f579f05d2cc2f836d15939e1b9c68d500f5d
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