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:
- aba9c4a8e4dc74e3b6c3a229584e6df569427b4516894ad3fce2a5aef901c42b
- Size of remote file:
- 9.8 kB
- SHA256:
- 157864a60b5e007c707d8419639ffea459589ec93129958e8d351a102bffb1b1
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