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:
- 9f349cb8442b8710d802334b635c87fa27dcbd11e8ddb7b52ad1edeb20214d4e
- Size of remote file:
- 9.92 GB
- SHA256:
- 1b023761034d75535f24001ec8d81fa21b6cb919c453779d20e2e5b66c464007
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.