readme: ---
  tags:
  - spacy
  - token-classification
  language:
  - multilingual
  license: mit
  model-index:
  - name: xx_ent_wiki_sm
    results:
    - task:
        name: NER
        type: token-classification
      metrics:
      - name: NER Precision
        type: precision
        value: 0.8352564288
      - name: NER Recall
        type: recall
        value: 0.8264712666
      - name: NER F Score
        type: f_score
        value: 0.8308406251
  ---
  ### Details: https://spacy.io/models/xx#xx_ent_wiki_sm
  
  Multi-language pipeline optimized for CPU. Components: ner.
  
  | Feature | Description |
  | --- | --- |
  | **Name** | `xx_ent_wiki_sm` |
  | **Version** | `3.5.0` |
  | **spaCy** | `>=3.5.0,<3.6.0` |
  | **Default Pipeline** | `ner` |
  | **Components** | `ner` |
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
  | **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) |
  | **License** | `MIT` |
  | **Author** | [Explosion](https://explosion.ai) |
  
  ### Label Scheme
  
  <details>
  
  <summary>View label scheme (4 labels for 1 components)</summary>
  
  | Component | Labels |
  | --- | --- |
  | **`ner`** | `LOC`, `MISC`, `ORG`, `PER` |
  
  </details>
  
  ### Accuracy
  
  | Type | Score |
  | --- | --- |
  | `ENTS_P` | 83.53 |
  | `ENTS_R` | 82.65 |
  | `ENTS_F` | 83.08 |