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:
- 43fae3b6b381fe97034aebcc0519a3d3396a58b9b7cca4a4fd848f4e2885973e
- Size of remote file:
- 83.9 MB
- SHA256:
- ff768b2d8c25b439ee3c5359206d9dd6ed90992eba169ee6561cb5d893de5e1a
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