Instructions to use thaffggg/46af13f8-5b27-4cc1-addb-8c99537c7302 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thaffggg/46af13f8-5b27-4cc1-addb-8c99537c7302 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, "thaffggg/46af13f8-5b27-4cc1-addb-8c99537c7302") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80ab2ad7c4b7e0c0d193f9366fe045ea5ace7a6915968d5124451feb053a87be
- Size of remote file:
- 36.3 MB
- SHA256:
- e4d7e3b9a08f47cdfbc101b5f71159cf218ecc208eb22ae1c243c17b36ad790b
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