Instructions to use Toc/toc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Toc/toc with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Toc/toc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a418261983a13f2e87768abe3d30eaf571024496138f0af656e12892bcbd5e6
- Size of remote file:
- 24.7 kB
- SHA256:
- c74b4e810b030f6b75fde959e2db678c268d07115b85356d3c0138ba5eb42340
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.