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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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datasets: |
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- conll2003 |
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language: |
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- en |
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--- |
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# SpanMarker for Named Entity Recognition |
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This is a [SpanMarker](https://github.com/tomaarsen/SpanMarkerNER) model that can be used for Named Entity Recognition. In particular, this SpanMarker model uses [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) as the underlying encoder. |
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## Usage |
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To use this model for inference, first install the `span_marker` library: |
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```bash |
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pip install span_marker |
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``` |
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You can then run inference as follows: |
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```python |
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from span_marker import SpanMarkerModel |
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# Download from Hub and run inference |
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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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See the [SpanMarker](https://github.com/tomaarsen/SpanMarkerNER) repository for documentation and additional information on this model framework. |
