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Update README.md
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README.md
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# Slovenian Medical NER
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##
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- **Primary Use Case**: This model is designed to extract medical entities such as symptoms, diagnostic tests, and treatments from clinical text in the Slovenian language.
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- **Applications**: Suitable for healthcare professionals, clinical data analysis, and research into medical text processing.
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- **Supported Entity Types**:
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```python
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from transformers import AutoTokenizer, AutoModelForTokenClassification
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import torch
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model_name = "rigonsallauka/slovenian_medical_ner"
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---
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# Slovenian Medical NER
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##
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Use
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- **Primary Use Case**: This model is designed to extract medical entities such as symptoms, diagnostic tests, and treatments from clinical text in the Slovenian language.
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- **Applications**: Suitable for healthcare professionals, clinical data analysis, and research into medical text processing.
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- **Supported Entity Types**:
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```python
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from transformers import AutoTokenizer, AutoModelForTokenClassification
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model_name = "rigonsallauka/slovenian_medical_ner"
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