Token Classification
SpanMarker
TensorBoard
Safetensors
English
ner
named-entity-recognition
generated_from_span_marker_trainer
Eval Results (legacy)
Instructions to use davanstrien/span-marker-bert-base-fewnerd-coarse-super with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use davanstrien/span-marker-bert-base-fewnerd-coarse-super with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("davanstrien/span-marker-bert-base-fewnerd-coarse-super") entities = model.predict("Amelia Earhart flew her single engine Lockheed Vega 5B across the Atlantic to Paris.") print(entities) - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from davanstrien/span-marker-bert-base-fewnerd-coarse-super: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/davanstrien/span-marker-bert-base-fewnerd-coarse-super/resolve/main/tokenizer.json
- Command line
-
hf download hf://davanstrien/span-marker-bert-base-fewnerd-coarse-super/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/davanstrien/span-marker-bert-base-fewnerd-coarse-super/resolve/main/tokenizer.json
2.11 MB
File too large to display, you can check the raw version instead.