Instructions to use aleegis09/9db5a789-8468-4a51-9c32-1329fc567a33 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis09/9db5a789-8468-4a51-9c32-1329fc567a33 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, "aleegis09/9db5a789-8468-4a51-9c32-1329fc567a33") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e0a2dc8338852c3b36a92772ac5cc14754db5390682563ebbe36940f8839ceb
- Size of remote file:
- 6.84 kB
- SHA256:
- ae8420cbede4f641b5d5cfd3bd5f6a8cd21dcaf00768ce49bb091d51a109f72a
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