Instructions to use OpCustom/OpAI1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use OpCustom/OpAI1.1 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("OpCustom/OpAI1.1", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download vocab.pth from OpCustom/OpAI1.1: direct link, hf CLI and curl.
- Browser
- Download file 696 kB
-
https://huggingface.co/OpCustom/OpAI1.1/resolve/main/vocab.pth
- Command line
-
hf download hf://OpCustom/OpAI1.1/vocab.pth
-
curl -L -o vocab.pth https://huggingface.co/OpCustom/OpAI1.1/resolve/main/vocab.pth
696 kB
- Xet hash:
- 808d90d072336fb85ad481ecc920f1897b2ef1c5c764a57560370a8f00dcaccc
- Size of remote file:
- 696 kB
- SHA256:
- 17ec8f094e0274e43a931d387fbfb59caa5df051cbbe95d1f0b30584b1082d6a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.