Token Classification
SpanMarker
Safetensors
English
ner
named-entity-recognition
generated_from_span_marker_trainer
Eval Results (legacy)
Instructions to use zhang19991111/bert-base-spanmarker-STEM-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use zhang19991111/bert-base-spanmarker-STEM-NER with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("zhang19991111/bert-base-spanmarker-STEM-NER") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3a9fae2f8b61f7e66aa8df2d976fd2b31d4e8aa1210311a29c0f3fe25fad0a8
- Size of remote file:
- 4.28 kB
- SHA256:
- 5ca7bd243862991559985b93db78a0a2c78dee03aa2887ad3315cd27b4848b0f
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