Instructions to use google/switch-c-2048 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/switch-c-2048 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("google/switch-c-2048", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6e2f9d5aa33d10fa6d2f8261589aeb934c2ee2cdf0547dcd3c759064b309a3d
- Size of remote file:
- 2.45 GB
- SHA256:
- 492e5879646d6a079b943a74542fc2535f3168b0fddf6777c38baae426914874
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.