Instructions to use datlaaaaaaa/81cc8bf0-bb23-4f08-8ecc-e1e590066039 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use datlaaaaaaa/81cc8bf0-bb23-4f08-8ecc-e1e590066039 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, "datlaaaaaaa/81cc8bf0-bb23-4f08-8ecc-e1e590066039") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 920374727fa79883efaa9313ebc152b17c104d0c347c21fefa82550883b69319
- Size of remote file:
- 84 MB
- SHA256:
- 0079146c054181a48e6d8a7496290eee8158049c7baa131fcfdc95e589234e8a
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