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@@ -74,6 +74,10 @@ The model can be used directly to classify text into one of the two classes. It
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  - **Language (NLP):** English
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  - **License:** apache-2.0
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  ### Uses
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  The model can be integrated into larger systems for content moderation or filtering.
@@ -176,10 +180,5 @@ from transformers import pipeline
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  pipe = pipeline("text-classification", model="eliasalbouzidi/distilbert-nsfw-text-classifier")
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  ```
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- ## Technical Paper:
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- A more detailed technical overview of the model and the dataset can be found [here](https://arxiv.org/pdf/2412.00064).
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  ## Contact
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  Please reach out to eliasalbouzidi@gmail.com if you have any questions or feedback.
 
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  - **Language (NLP):** English
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  - **License:** apache-2.0
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+ ## Technical Paper:
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+
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+ A more detailed technical overview of the model and the dataset can be found [here](https://arxiv.org/pdf/2412.00064).
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+
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  ### Uses
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  The model can be integrated into larger systems for content moderation or filtering.
 
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  pipe = pipeline("text-classification", model="eliasalbouzidi/distilbert-nsfw-text-classifier")
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  ```
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  ## Contact
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  Please reach out to eliasalbouzidi@gmail.com if you have any questions or feedback.