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README.md
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@@ -51,12 +51,6 @@ WOA - Any named work of art (books, movies, songs, etc.)
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MISC - Miscellaneous entities, that do not belong to the previous categories
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```
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### Model Sources
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- **Repository:** [SpanMarker on GitHub](https://github.com/tomaarsen/SpanMarkerNER)
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- **Thesis:** [SpanMarker For Named Entity Recognition](https://raw.githubusercontent.com/tomaarsen/SpanMarkerNER/main/thesis.pdf)
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## Uses
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### Direct Use for Inference
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# Download from the 🤗 Hub
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model = SpanMarkerModel.from_pretrained("iahlt/xlm-roberta-base-ar-ner-flat")
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entities = model.predict(
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print(entities)
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```
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MISC - Miscellaneous entities, that do not belong to the previous categories
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```
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## Uses
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### Direct Use for Inference
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# Download from the 🤗 Hub
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model = SpanMarkerModel.from_pretrained("iahlt/xlm-roberta-base-ar-ner-flat")
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entities = model.predict(<text>)
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print(entities)
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```
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