Instructions to use ISTA-DASLab/switch-c-2048_qmoe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ISTA-DASLab/switch-c-2048_qmoe with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ISTA-DASLab/switch-c-2048_qmoe", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 665e0798fc49ce223744e36ce03f2e25a734e5a8e74a953e1b99ae10069fefce
- Size of remote file:
- 5.26 GB
- SHA256:
- ecd885a964dcbb079db3430f2e1c41e02b911580bcf85f246a23899c7d433103
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.