Token Classification
SpanMarker
PyTorch
Safetensors
English
ner
named-entity-recognition
Eval Results (legacy)
Instructions to use tomaarsen/span-marker-bert-tiny-fewnerd-coarse-super with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use tomaarsen/span-marker-bert-tiny-fewnerd-coarse-super with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("tomaarsen/span-marker-bert-tiny-fewnerd-coarse-super") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from tomaarsen/span-marker-bert-tiny-fewnerd-coarse-super: direct link, hf CLI and curl.
- Browser
- Download file 17.6 MB
-
https://huggingface.co/tomaarsen/span-marker-bert-tiny-fewnerd-coarse-super/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://tomaarsen/span-marker-bert-tiny-fewnerd-coarse-super/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/tomaarsen/span-marker-bert-tiny-fewnerd-coarse-super/resolve/main/pytorch_model.bin
17.6 MB
- Xet hash:
- 1f65bdb70f361eb572dfcd44132843e833a30b9dd96464e45de84cd45345a2c6
- Size of remote file:
- 17.6 MB
- SHA256:
- 7fad7460497ee6440ffe865221630a4d1b576a9cf192ed8ef9785a500e20ea0d
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