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:
- 43e890d43a9ccd9ab67f060bbc0135043d3b175d73ec9ce24cebd85de070bb29
- Size of remote file:
- 592 Bytes
- SHA256:
- 7d125e6f761dc70d11cc2e72bbfa9068cb558b7c975c8c19076d26e2c34a3cf6
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