Instructions to use nttx/580fd833-be10-49bf-819f-96cd012e6af8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/580fd833-be10-49bf-819f-96cd012e6af8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "nttx/580fd833-be10-49bf-819f-96cd012e6af8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87b9f2646a2ede6e68fc51b86de6c56cb78c7bcd58b7ecc29a2c3a8ba137bb9a
- Size of remote file:
- 336 MB
- SHA256:
- 7c6ee579cd2527284739dd4c51f9da3ee7749d73c40497777b11422e9214323e
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