Instructions to use tuanna08go/04e372b6-577d-49e4-b758-e932132810e4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuanna08go/04e372b6-577d-49e4-b758-e932132810e4 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, "tuanna08go/04e372b6-577d-49e4-b758-e932132810e4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2269bad9f01aafa9e82c0bf4f706e01c0cf3cd8c2657effc24a272433abe888a
- Size of remote file:
- 83.9 MB
- SHA256:
- 2a926ecc39871287c3d01a01eb08610c068511fde2f9ad1f1e37069804ec14dd
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