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Update README.md

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@@ -19,7 +19,8 @@ tags:
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  - extraction
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  - german
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  ---
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- # German Medical NER
 
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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 German language.
@@ -59,7 +60,6 @@ You can easily use this model with the Hugging Face `transformers` library. Here
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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/german_medical_ner"
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  - extraction
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  - german
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  ---
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+ #
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+ German Medical NER
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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 German language.
 
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  ```python
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  from transformers import AutoTokenizer, AutoModelForTokenClassification
 
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  model_name = "rigonsallauka/german_medical_ner"
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