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README.md
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type: f_score
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value: 0.9797979798
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---
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| Feature | Description |
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| --- | --- |
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| **Name** | `en_subref_ner` |
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| **Components** | `tok2vec`, `ner` |
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| **Vectors** | 218765 keys, 218765 unique vectors (50 dimensions) |
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| **Sources** | n/a |
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### Label Scheme
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type: f_score
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value: 0.9797979798
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---
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# Description
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This model is designed to be used in conjunction with the [en-torah-ner](https://huggingface.co/Sefaria/en-torah-ner) model. See the README there for how to integrate them.
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The model takes citations as input and tags the parts of the citation as entities. This is very useful for parsing the citation.
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# Technical details
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| Feature | Description |
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| --- | --- |
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| **Name** | `en_subref_ner` |
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| **Components** | `tok2vec`, `ner` |
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| **Vectors** | 218765 keys, 218765 unique vectors (50 dimensions) |
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| **Sources** | n/a |
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| **License** | GPLv3 |
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| **Author** | Sefaria |
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### Label Scheme
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