Instructions to use ApacheOne/expimodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ApacheOne/expimodel with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ApacheOne/expimodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b22e37b60e301ecc5f871e4d1818b993ae66707b9eb40cdc337843e85453572f
- Size of remote file:
- 35.2 GB
- SHA256:
- cd94018f161b009b3a009df310ea6a58314170b4e159cd11515d8f45612694ef
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.