Instructions to use DrMatters/rubert_cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DrMatters/rubert_cased with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DrMatters/rubert_cased", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94fc6c50b3a5baee2b696daa74f3aeb31946f463a07c9abd999b3f1e767815bb
- Size of remote file:
- 711 MB
- SHA256:
- ff01c0908f8f9987eb4bd777564be972a5412f4e882beb9d050e37ae67e13030
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.