Instructions to use chauhoang/3a6301f8-134e-4091-85a5-0083de9c222f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/3a6301f8-134e-4091-85a5-0083de9c222f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Hermes-2-Mistral-7B-DPO") model = PeftModel.from_pretrained(base_model, "chauhoang/3a6301f8-134e-4091-85a5-0083de9c222f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 236849a3443e0e3fbc07b14503ac07e8ef31bb7dfafc6adb3ddd200878d7cc7a
- Size of remote file:
- 43.1 MB
- SHA256:
- b86b427f29534bf99a4ec7b4dc43e81fcb596fab871d7fceaa2b6b5b7b8f7653
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