Instructions to use arthrod/c3750-mdeberta_base-vanilla-1-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use arthrod/c3750-mdeberta_base-vanilla-1-2 with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("arthrod/c3750-mdeberta_base-vanilla-1-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49843f2e1ea8422de19f9ebdac40bb6ac6bcc8cb5e26704de10fcebb7faac5b7
- Size of remote file:
- 1.16 GB
- SHA256:
- dbc3f5b2e38ce7ce8a5c82fe7e53c9cf67658e0ef3302b38c6d022bb27ac0863
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.