Instructions to use eeeebbb2/84476bf8-f0c8-46fc-abeb-1414ea849b8d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/84476bf8-f0c8-46fc-abeb-1414ea849b8d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-360M") model = PeftModel.from_pretrained(base_model, "eeeebbb2/84476bf8-f0c8-46fc-abeb-1414ea849b8d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63a0ee6684d7ca88a292349515537574c3818959be957eb8427f089a479fe859
- Size of remote file:
- 6.84 kB
- SHA256:
- 97aa9648bd7724a6426022a6437ef62837c1927cd5339766404a8638cbcb0cb0
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