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@@ -53,10 +53,13 @@ model-index:
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  <!-- Provide a quick summary of what the model is/does. -->
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- This model is designed to categorize text into two classes: "safe", or "nsfw" (not safe for work), which makes it suitable for content moderation and filtering applications.
 
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  The model was trained using a dataset containing 190,000 labeled text samples, distributed among the two classes of "safe" and "nsfw".
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  The model is based on the Distilbert-base model.
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  In terms of performance, the model has achieved a score of 0.974 for F1 (40K exemples).
 
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  <!-- Provide a quick summary of what the model is/does. -->
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+ This model is designed to categorize text into two classes: "safe", or "nsfw" (not safe for work) For my Ai Video Generator Sterling AI
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+ If you Want to use it for other things it may be suitable for content moderation and filtering applications.
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  The model was trained using a dataset containing 190,000 labeled text samples, distributed among the two classes of "safe" and "nsfw".
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+ And finetuned to block stuff I block on Sterling Ai
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  The model is based on the Distilbert-base model.
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  In terms of performance, the model has achieved a score of 0.974 for F1 (40K exemples).