Token Classification
SpanMarker
PyTorch
TensorBoard
Safetensors
English
ner
named-entity-recognition
generated_from_span_marker_trainer
Eval Results (legacy)
Instructions to use tomaarsen/span-marker-bert-base-acronyms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use tomaarsen/span-marker-bert-base-acronyms with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("tomaarsen/span-marker-bert-base-acronyms") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d331a3fab0fe4a1c780a98b5c1a3caa5e88fad0cc708dc0c560da7b1be080286
- Size of remote file:
- 433 MB
- SHA256:
- 2013c9dcb3adcd18347405661d736c8451e7292e94470519ba7fbc138b1e577e
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