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:
- 6b2c0e81f132849d7a3e105a7d7de18474cb42f9ab45c936c7a730aa5d2d81ac
- Size of remote file:
- 433 MB
- SHA256:
- 30895143e4a162f4a27e493c5d56e7dc6928902762e1ff6b1d1c7522cb7e1f2e
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