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README.md
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| **Components** | `transformer`, `ner` |
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## Usage
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The easiest way is to load through the pipeline object offered by transformers library.
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```python
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import spacy
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nlp = spacy.load("en_pipeline")
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import en_pipeline
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nlp = en_pipeline.load()
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## Author
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This model is part of the Research topic "Bias and Fairness in AI" conducted by Deepak John Reji, Shaina Raza. If you use this work (code, model or dataset), please cite as:
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> Bias & Fairness in AI, (2020), GitHub repository, <https://github.com/dreji18/Fairness-in-AI/tree/dev>
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| **Components** | `transformer`, `ner` |
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----
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## Author
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This model is part of the Research topic "Bias and Fairness in AI" conducted by Deepak John Reji, Shaina Raza. If you use this work (code, model or dataset), please cite as:
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> Bias & Fairness in AI, (2020), GitHub repository, <https://github.com/dreji18/Fairness-in-AI/tree/dev>
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