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:
- 3345822a7a6506faf74615687acaec54caeabc6d9758976c3a6b2b60a41dbe0b
- Size of remote file:
- 9.99 GB
- SHA256:
- 0f2e408b3e1b3dd8546f3d937f19402d82dc879e00bc5c2be7a7769ae4690b54
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.