Instructions to use eeeebbb2/ed54852c-5ead-4e2d-8aea-30994891c5ad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/ed54852c-5ead-4e2d-8aea-30994891c5ad 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/ed54852c-5ead-4e2d-8aea-30994891c5ad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77f6499008f0fec36fbd40788a0454fcc0cdd232a2758df17fb3710254e03ac1
- Size of remote file:
- 69.6 MB
- SHA256:
- 402414d3405ed1f2296cdcbbabbe45b292f5d8a5a4603d77782fef0e415876df
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