Token Classification
SpanMarker
Safetensors
English
ner
named-entity-recognition
muppet-roberta-large-ner
Eval Results (legacy)
Instructions to use eek/span-marker-muppet-roberta-large-fewnerd-fine-super with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use eek/span-marker-muppet-roberta-large-fewnerd-fine-super with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("eek/span-marker-muppet-roberta-large-fewnerd-fine-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 training_args.bin from eek/span-marker-muppet-roberta-large-fewnerd-fine-super: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/eek/span-marker-muppet-roberta-large-fewnerd-fine-super/resolve/main/training_args.bin
- Command line
-
hf download hf://eek/span-marker-muppet-roberta-large-fewnerd-fine-super/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/eek/span-marker-muppet-roberta-large-fewnerd-fine-super/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 4a1db68ec990cb00a0d665c6c43aabf7c112a6b91310f5395356029e90a1b7d1
- Size of remote file:
- 4.73 kB
- SHA256:
- 9af1cef335c2800228ad41dd533f4c30ebcf059efe2fdb05da2361cc81b68f30
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