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@@ -17,18 +17,17 @@ This model is a fine-tuned version of [DeBERTa](https://huggingface.co/microsoft
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  ## Model description
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- This model is trained to serve the RaTEScore metric, if you are interested in our pipeline, please refer to our [paper](https://angelakeke.github.io/RaTEScore/).
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  This model also can be used to extract **Abnormality, Non-Abnormality, Anatomy, Disease, Non-Disease**
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  in medical radiology reports.
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  ## Usage
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  ```python
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- # Load model directly
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  from transformers import AutoTokenizer, AutoModelForTokenClassification
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- tokenizer = AutoTokenizer.from_pretrained("Angelakeke/RaTE-NER")
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- model = AutoModelForTokenClassification.from_pretrained("Angelakeke/RaTE-NER")
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  ```
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  ## Author
 
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  ## Model description
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+ This model is trained to serve the RaTEScore metric, if you are interested in our pipeline, please refer to our [paper](https://angelakeke.github.io/RaTEScore/) and [Github](https://github.com/Angelakeke/RaTEScore).
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  This model also can be used to extract **Abnormality, Non-Abnormality, Anatomy, Disease, Non-Disease**
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  in medical radiology reports.
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  ## Usage
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  ```python
 
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  from transformers import AutoTokenizer, AutoModelForTokenClassification
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+ tokenizer = AutoTokenizer.from_pretrained("Angelakeke/RaTE-NER-Deberta")
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+ model = AutoModelForTokenClassification.from_pretrained("Angelakeke/RaTE-NER-Deberta")
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  ```
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  ## Author