Token Classification
Flair
PyTorch
TensorBoard
German
sequence-tagger-model
hetzner
hetzner-gex44
hetzner-gpu
Instructions to use stefan-it/flair-co-funer-gbert_base-bs8-e10-lr5e-05-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use stefan-it/flair-co-funer-gbert_base-bs8-e10-lr5e-05-2 with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("stefan-it/flair-co-funer-gbert_base-bs8-e10-lr5e-05-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94bf4bfa1485b1403e2d3ac1cc48abb08e858545b84ed2318b7699c255896dc3
- Size of remote file:
- 441 MB
- SHA256:
- 53dacba95d54cdb23950eca405ce83133449fd4aa22e93f3d303b28b12caf9e6
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