Token Classification
SpanMarker
PyTorch
TensorBoard
English
ner
named-entity-recognition
generated_from_span_marker_trainer
Eval Results (legacy)
Instructions to use tomaarsen/span-marker-bert-base-uncased-keyphrase-inspec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use tomaarsen/span-marker-bert-base-uncased-keyphrase-inspec with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("tomaarsen/span-marker-bert-base-uncased-keyphrase-inspec") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1750e4e55f38b7d22e5da1ae9ad7a13f60b23554dd88ece52c0e7c90a4320472
- Size of remote file:
- 438 MB
- SHA256:
- 7176780513b41d13a6b864d4c6f131141c245037515fb7898abe22ae23b414f3
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