Instructions to use Bepemin/560d95ca-4727-4b44-b25a-d6d55cdc6256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Bepemin/560d95ca-4727-4b44-b25a-d6d55cdc6256 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/zephyr-sft") model = PeftModel.from_pretrained(base_model, "Bepemin/560d95ca-4727-4b44-b25a-d6d55cdc6256") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e090c2d2774ea7875da72d682c12600bd69085e9c28674b917a49fe82ccffe2
- Size of remote file:
- 493 kB
- SHA256:
- dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.