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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87e0c06b90e4f6a8c119f26a46b1898151d193fdd92c424544d83f08ecb9d7aa
- Size of remote file:
- 4.16 GB
- SHA256:
- 30f23f06f68deead7224f43dafdf424d32ae228f9d9f7467e104dbc03d7230f2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.