Instructions to use cilorku/76eea394-b6c1-4596-b42d-685df856e8d4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cilorku/76eea394-b6c1-4596-b42d-685df856e8d4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Hermes-3-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "cilorku/76eea394-b6c1-4596-b42d-685df856e8d4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ebb7667e861ae7687bf956dfa602650774c524c85bda73d06317769d49e7bc0
- Size of remote file:
- 14.2 kB
- SHA256:
- c2c705e7d56717b5ca50e71396acdc675700f6b7650da47acb9e0cd931ab78aa
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