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:
- 5b6b5bbc06d7b3e6f0229c945ade64c588416eeb6e41cbd9ba39e703a20c3517
- Size of remote file:
- 6.84 kB
- SHA256:
- 753a325998950024740c2262eb261f413203de30e577dccae580760a4dadda56
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