---
license: apache-2.0
language:
- ar
metrics:
- accuracy
base_model:
- asafaya/bert-base-arabic
pipeline_tag: token-classification
library_name: spacy
tags:
- medical
model-index:
  - name: Yi-34B
    results:
      - task:
          type: token-classification
        dataset:
          name: arabic-disease-ner-w-multi-annotation
          type: BI-Scheme
        metrics:
          - name: ents_f
            type: f1-score
            value: 0.9930491196
          - name: ents_r
            type: recall
            value: 0.9930491196
          - name: ents_p
            type: recall
            value: 0.9930491196
            
              

---


## Uses

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
```bash
git clone https://huggingface.co/ahmedelsayed/ar-ner-diseases

```
```python
import spacy
nlp = spacy.load("ar-ner-diseases")
```