Token Classification
SpanMarker
TensorBoard
Safetensors
English
ner
named-entity-recognition
generated_from_span_marker_trainer
Eval Results (legacy)
Instructions to use LegionIntel/ner-document-context with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use LegionIntel/ner-document-context with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("LegionIntel/ner-document-context") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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from span_marker import SpanMarkerModel, Trainer
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# Download from the 🤗 Hub
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model = SpanMarkerModel.from_pretrained("YurtsAI/
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# Specify a Dataset with "tokens" and "ner_tag" columns
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dataset = load_dataset("conll2003") # For example CoNLL2003
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from span_marker import SpanMarkerModel, Trainer
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# Download from the 🤗 Hub
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model = SpanMarkerModel.from_pretrained("YurtsAI/ner-document-context")
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# Specify a Dataset with "tokens" and "ner_tag" columns
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dataset = load_dataset("conll2003") # For example CoNLL2003
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