Token Classification
SpanMarker
PyTorch
Safetensors
Generated from Trainer
ner
named-entity-recognition
Eval Results (legacy)
Instructions to use lxyuan/span-marker-bert-base-multilingual-cased-multinerd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use lxyuan/span-marker-bert-base-multilingual-cased-multinerd with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("lxyuan/span-marker-bert-base-multilingual-cased-multinerd") entities = model.predict("Amelia Earhart flew her single engine Lockheed Vega 5B across the Atlantic to Paris.") print(entities) - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:44e0ee46ca538130061d56cf032a686ed8c74b727319c4d33d40b389d456dd68
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size 711546600
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