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--- |
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license: apache-2.0 |
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language: |
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- ar |
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metrics: |
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- accuracy |
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base_model: |
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- asafaya/bert-base-arabic |
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pipeline_tag: token-classification |
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library_name: spacy |
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tags: |
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- medical |
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model-index: |
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- name: Yi-34B |
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results: |
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- task: |
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type: token-classification |
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dataset: |
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name: arabic-disease-ner-w-multi-annotation |
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type: BI-Scheme |
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metrics: |
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- name: ents_f |
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type: f1-score |
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value: 0.9930491196 |
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- name: ents_r |
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type: recall |
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value: 0.9930491196 |
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- name: ents_p |
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type: recall |
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value: 0.9930491196 |
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--- |
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## Uses |
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> |
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```bash |
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git clone https://huggingface.co/ahmedelsayed/ar-ner-diseases |
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``` |
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```python |
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import spacy |
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nlp = spacy.load("ar-ner-diseases") |
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``` |
