Instructions to use souging/ea776ce3-3bf5-413e-b130-8875993d2c18 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use souging/ea776ce3-3bf5-413e-b130-8875993d2c18 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-3-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "souging/ea776ce3-3bf5-413e-b130-8875993d2c18") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e97d8c3009dbf7871cffd948f44dfb37844d8c50d715f15994dc73d68afe03f
- Size of remote file:
- 336 MB
- SHA256:
- b10586f212d8bc14fc92eccb995bf2838d08febd24ab653aac96df12ac16e34e
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