Instructions to use marialvsantiago/d9670c64-ded4-4740-bdf3-7551875c7cef with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use marialvsantiago/d9670c64-ded4-4740-bdf3-7551875c7cef 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, "marialvsantiago/d9670c64-ded4-4740-bdf3-7551875c7cef") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3bb159df836369987392f05d53630e02d81b8a7c2430e86209edc45798e704b4
- Size of remote file:
- 6.78 kB
- SHA256:
- e8687668d3c6ae8c3e2baf68ef52cce38dc7ded8378ca4c8cd7d55e74d34476c
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