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- # 📄 Identifying Disability-Insensitive Language in Scholarly Works
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- Refer to the code repository here: [GitHub - Insensitive-Lang-Detection](https://github.com/RobyRoshna/Insensitive-Lang-Detection/tree/main)
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  ---
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  ---
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  ## How to Use
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  ```python
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  predicted_class = logits.argmax(-1).item()
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  print("Predicted class:", predicted_class)
 
 
 
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+ ---
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+ license: cc-by-nc-4.0
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+ tags:
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+ - bert
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+ - text-classification
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+ - disability
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+ - inclusive-language
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+ - academic-writing
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+ datasets:
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+ - assets
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+ library_name: transformers
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+ language:
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+ - en
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+ ---
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+ # Identifying Disability-Insensitive Language in Scholarly Works
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+ Refer to the code repository and paper here: [GitHub - Insensitive-Lang-Detection](https://github.com/RobyRoshna/Insensitive-Lang-Detection/tree/main)
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  ---
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  ---
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+ ## License
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+ This model is licensed under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.
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+
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+ This means you are free to share and adapt the model for non-commercial purposes, as long as appropriate credit is given. Commercial use is not permitted without explicit permission.
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+ For details, see [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/).
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+
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+ ---
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  ## How to Use
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  ```python
 
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  predicted_class = logits.argmax(-1).item()
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  print("Predicted class:", predicted_class)
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+