Instructions to use sergioalves/3c4c31fb-93b4-4385-82e4-5b00f74b01c2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sergioalves/3c4c31fb-93b4-4385-82e4-5b00f74b01c2 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, "sergioalves/3c4c31fb-93b4-4385-82e4-5b00f74b01c2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf4efcca3ae7cb61e461efd0933791283991b645bc5e0f59371b997e670b85ec
- Size of remote file:
- 168 MB
- SHA256:
- 56d50d30b779c6c662d171a7be53ae93b197ddd5b3303a3d9fa6c4f79e0afe80
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