xx_ent_wiki_sm / README.md
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---
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tags:
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- spacy
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- token-classification
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language:
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- multilingual
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license: mit
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model-index:
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- name: xx_ent_wiki_sm
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  results:
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  - task:
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      name: NER
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      type: token-classification
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    metrics:
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    - name: NER Precision
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      type: precision
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      value: 0.842542842
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    - name: NER Recall
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      type: recall
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      value: 0.8348831014
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    - name: NER F Score
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      type: f_score
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      value: 0.8386954831
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---
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### Details: https://spacy.io/models/xx#xx_ent_wiki_sm
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Multi-language pipeline optimized for CPU. Components: ner.
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| Feature | Description |
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| --- | --- |
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| **Name** | `xx_ent_wiki_sm` |
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| **Version** | `3.2.0` |
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| **spaCy** | `>=3.2.0,<3.3.0` |
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| **Default Pipeline** | `ner` |
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| **Components** | `ner` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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| **Sources** | [WikiNER](https://figshare.com/articles/Learning_multilingual_named_entity_recognition_from_Wikipedia/5462500) (Joel Nothman, Nicky Ringland, Will Radford, Tara Murphy, James R Curran) |
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| **License** | `MIT` |
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| **Author** | [Explosion](https://explosion.ai) |
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### Label Scheme
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<details>
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<summary>View label scheme (4 labels for 1 components)</summary>
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| Component | Labels |
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| --- | --- |
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| **`ner`** | `LOC`, `MISC`, `ORG`, `PER` |
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</details>
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### Accuracy
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| Type | Score |
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| --- | --- |
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| `ENTS_P` | 84.25 |
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| `ENTS_R` | 83.49 |
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| `ENTS_F` | 83.87 |