Token Classification
SpanMarker
PyTorch
English
ner
named-entity-recognition
generated_from_span_marker_trainer
Eval Results (legacy)
Instructions to use jackboyla/span-marker-bert-base-fewnerd-coarse-super with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use jackboyla/span-marker-bert-base-fewnerd-coarse-super with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("jackboyla/span-marker-bert-base-fewnerd-coarse-super") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3eded5414545e2da293c4e6d063c303fd9b2f86a5fc951837ec50615ecdfbeb
- Size of remote file:
- 433 MB
- SHA256:
- 4355ee012cf32aa1dedfa8dfdfecce817dd75c6efd2c852aad3653c53fc390ea
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