Update metadata for new model weights
Browse files
README.md
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license: apache-2.0
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library_name: span-marker
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tags:
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- span-marker
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- token-classification
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- ner
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- named-entity-recognition
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pipeline_tag: token-classification
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---
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# SpanMarker for Named Entity Recognition
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from span_marker import SpanMarkerModel
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# Download from the 🤗 Hub
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model = SpanMarkerModel.from_pretrained("
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# Run inference
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entities = model.predict("Amelia Earhart flew her single engine Lockheed Vega 5B across the Atlantic to Paris.")
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```
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license: apache-2.0
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library_name: span-marker
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tags:
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- span-marker
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- token-classification
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- ner
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- named-entity-recognition
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pipeline_tag: token-classification
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model-index:
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- name: SpanMarker w. bert-tiny on CoNLL03 by Tom Aarsen
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results:
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- task:
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type: token-classification
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name: Named Entity Recognition
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dataset:
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type: conll2003
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name: CoNLL03
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split: test
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revision: 01ad4ad271976c5258b9ed9b910469a806ff3288
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metrics:
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- type: f1
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value: 0.7956403269754768
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name: F1
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- type: precision
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value: 0.8469028382017817
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name: Precision
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- type: recall
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value: 0.750229399889888
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name: Recall
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datasets:
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- conll2003
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language:
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- en
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metrics:
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- f1
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- recall
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- precision
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---
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# SpanMarker for Named Entity Recognition
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from span_marker import SpanMarkerModel
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# Download from the 🤗 Hub
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model = SpanMarkerModel.from_pretrained("tomaarsen/span-marker-bert-tiny-conll03")
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# Run inference
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entities = model.predict("Amelia Earhart flew her single engine Lockheed Vega 5B across the Atlantic to Paris.")
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```
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