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Model Description

This is a multi label encoder SLM. It clasiffies text for NSFW, Hate Speech, and Bullying. The output is a probability between 0 and 1 meaning if that label should be count. A probability of 0.5 or above means this label is True, otherwise it is False. If all labels are False, then the text is toxic free.

Developed by: Eli Borodach & Yoav Yosef
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Model type: Multi Label Encoder
Language(s) (NLP): English
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Finetuned from model [optional]: distilBERT

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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

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Training Details

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Summary

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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