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Update README.md

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  language:
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  - es
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  tags:
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  - twitter
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  - named-entity-recognition
@@ -17,6 +18,25 @@ Repository: [https://github.com/pysentimiento/pysentimiento/](https://github.com
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  Model trained with the Spanish/English split of the [LinCE NER corpus](https://ritual.uh.edu/lince/), a code-switched benchmark . Base model is [RoBERTuito](https://github.com/pysentimiento/robertuito), a RoBERTa model trained in Spanish tweets.
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  ## Results
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  language:
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  - es
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+ library_name: pysentimiento
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  tags:
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  - twitter
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  - named-entity-recognition
 
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  Model trained with the Spanish/English split of the [LinCE NER corpus](https://ritual.uh.edu/lince/), a code-switched benchmark . Base model is [RoBERTuito](https://github.com/pysentimiento/robertuito), a RoBERTa model trained in Spanish tweets.
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+ ## Usage
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+
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+ If you want to use this model, we suggest you use it directly from the `pysentimiento` library as it is not working properly with the pipeline due to tokenization issues
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+ ```python
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+ from pysentimiento import create_analyzer
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+
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+ ner_analyzer = create_analyzer("ner", lang="es")
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+ ner_analyzer.predict("rindanse ante el mejor, leonel andres messi cuccitini. serresiete no existis, segui pastando camellos en el al-nassr")
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+
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+
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+ # [{'type': 'PER',
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+ # 'text': 'leonel andres messi cuccitini',
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+ # 'start': 24,
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+ # 'end': 53},
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+ # {'type': 'PER', 'text': 'serresiete', 'start': 55, 'end': 65},
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+ # {'type': 'LOC', 'text': 'al-nassr', 'start': 108, 'end': 116}]
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+ ```
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  ## Results
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