Instructions to use SociauxLing/ModernBERT_BEST with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SociauxLing/ModernBERT_BEST with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SociauxLing/ModernBERT_BEST", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c970febd36daea3933973c6378fd8d9581a09faaf0b308bebc317e9c3e2e402b
- Size of remote file:
- 1.58 GB
- SHA256:
- fcb1ccf18e4564c57a9d443e97a9fe683fc0dd34635b36ca32d2ce1b723d6b07
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.