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---
tags:
- spacy
- token-classification
language:
- multilingual
license: MIT
model-index:
- name: xx_ent_wiki_sm
results:
- tasks:
name: NER
type: token-classification
metrics:
- name: Precision
type: precision
value: 0.8409186045
- name: Recall
type: recall
value: 0.8332525821
- name: F Score
type: f_score
value: 0.837068042
---
### 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** | `3.1.0` |
| **spaCy** | `>=3.1.0,<3.2.0` |
| **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` | 84.09 |
| `ENTS_R` | 83.33 |
| `ENTS_F` | 83.71 | |