Instructions to use prxy5605/6e51a5cb-0cd5-4f52-9f14-d9ebb7b89cec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5605/6e51a5cb-0cd5-4f52-9f14-d9ebb7b89cec with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Mistral-7B") model = PeftModel.from_pretrained(base_model, "prxy5605/6e51a5cb-0cd5-4f52-9f14-d9ebb7b89cec") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b454cf8150d1c3c728e74ae0d718e811ab3fa54467ac73ed3024b1df83497bb8
- Size of remote file:
- 43.1 MB
- SHA256:
- 63dc9feaa10e8bdaa80946a4d038733be0281692432be866263259f3827b32f5
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