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Update 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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-
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- ### Model Sources
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-
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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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-
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  ## Uses
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  ### Direct Use for Inference
@@ -66,7 +60,7 @@ from span_marker import SpanMarkerModel
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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("None")
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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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