Instructions to use 0x1202/ecb8379e-81b0-4bd5-a690-c05a5108b46a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 0x1202/ecb8379e-81b0-4bd5-a690-c05a5108b46a 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, "0x1202/ecb8379e-81b0-4bd5-a690-c05a5108b46a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b8e46b70a6a43962a3576d787e9d32ca39da74d1a36ed403b16ce3519568c86
- Size of remote file:
- 671 MB
- SHA256:
- d6f934c7d9b86292b230fae2d38fb06aa58b95d3b82cc573944f2e00365bece4
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