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---
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")
``` |