Instructions to use sergioalves/941ba499-8922-4a5c-b165-d32bf39f9d4a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sergioalves/941ba499-8922-4a5c-b165-d32bf39f9d4a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "sergioalves/941ba499-8922-4a5c-b165-d32bf39f9d4a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67355ad108ce9e87fac922195c08363f96ae53ade2ff7cf3125513df28fbfbc3
- Size of remote file:
- 336 MB
- SHA256:
- b428ac8ba657a4c39e07351f6afdfe2c70e2ff22bcb95bcbbc44174e7fe01f4f
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