NSFW_text_classifier
Maintainer: michellejieli
75
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
The NSFW_text_classifier is an AI model designed to classify text as safe for work (SFW) or not safe for work (NSFW). This model can be useful for content filtering and moderation, ensuring that inappropriate or explicit content is not displayed to users. When compared to similar models like [object Object] and [object Object], the NSFW_text_classifier offers a focused approach to text classification, rather than a more general language model.
Model inputs and outputs
The NSFW_text_classifier takes in text as input and outputs a classification of whether the text is safe for work (SFW) or not safe for work (NSFW). This can be a useful tool for content moderation, ensuring that inappropriate or explicit content is not displayed to users.
Inputs
- Text: The text to be classified as SFW or NSFW.
Outputs
- SFW/NSFW Classification: The model's prediction of whether the input text is safe for work (SFW) or not safe for work (NSFW).
Capabilities
The NSFW_text_classifier is capable of accurately identifying text that may be inappropriate or explicit, which can be useful for content filtering and moderation. By using this model, you can ensure that your platform or application only displays content that is suitable for a wide audience.
What can I use it for?
The NSFW_text_classifier can be used in a variety of applications that require content moderation, such as social media platforms, messaging apps, and online forums. By integrating this model into your application, you can automatically flag and filter out NSFW content, ensuring a safer and more enjoyable experience for your users. Additionally, the NSFW_text_classifier can be useful for maintaining a positive brand image and building trust with your audience.
Things to try
One interesting thing to try with the NSFW_text_classifier is to experiment with different types of text input, such as slang, profanity, or innuendo, to see how the model responds. By understanding the model's strengths and limitations, you can better integrate it into your application and ensure that it is effectively filtering out inappropriate content.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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