finiteautomata
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README.md
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@@ -15,6 +15,26 @@ 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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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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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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pos_analyzer = create_analyzer("pos", lang="es")
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pos_analyzer.predict("Quiero que esto funcione correctamente! @perezjotaeme")
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>[{'type': 'PROPN', 'text': 'Quiero', 'start': 0, 'end': 6},
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> {'type': 'SCONJ', 'text': 'que', 'start': 7, 'end': 10},
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> {'type': 'PRON', 'text': 'esto', 'start': 11, 'end': 15},
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> {'type': 'VERB', 'text': 'funcione', 'start': 16, 'end': 24},
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> {'type': 'ADV', 'text': 'correctamente', 'start': 25, 'end': 38},
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> {'type': 'PUNCT', 'text': '!', 'start': 38, 'end': 39},
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> {'type': 'NOUN', 'text': '@perezjotaeme', 'start': 40, 'end': 53}]
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```
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## Results
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