Instructions to use eeeebbb2/0328eca8-8a54-4906-8813-8cb56b4ac8c7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/0328eca8-8a54-4906-8813-8cb56b4ac8c7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-1.7B") model = PeftModel.from_pretrained(base_model, "eeeebbb2/0328eca8-8a54-4906-8813-8cb56b4ac8c7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d26093aab66772f0e08972f9eb6a9608b9b0f4783a6a9caef775e1f32fe7dbcd
- Size of remote file:
- 145 MB
- SHA256:
- 06d0b2902a39e914d0adf53bccd239f11aefb3626741fba68d661152eb609566
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