Instructions to use kk-aivio/ad9bf5b7-dcc5-45a2-8901-417c46ec036a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/ad9bf5b7-dcc5-45a2-8901-417c46ec036a 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, "kk-aivio/ad9bf5b7-dcc5-45a2-8901-417c46ec036a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c3ec4af87bfbc8d7ce537912a9801a069a9a859be25e09be4084033e46532dc
- Size of remote file:
- 84 MB
- SHA256:
- 6604f85e0764e1e3a7173bec2665ade901fb9fc5f78701739d0025136ad1a3c3
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