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Update 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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- | **License** | n/a |
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- | **Author** | [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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