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:
- d57fa46640589bee958149bcd234086af966651b8b9e070ff59ea8438bc8c0e4
- Size of remote file:
- 5.22 GB
- SHA256:
- 9907b478b3968c065dd239ba249bf130f59a216bdce47f56c4944e041f3b80ad
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.