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ONNX model - a fine tuned version of DistilBERT which can be used to classify text as one of:
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- neutral, offensive_language, harmful_behaviour, hate_speech
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The model was trained using the [csfy tool](https://github.com/mrseanryan/csfy) and the dataset [seanius/toxic-or-neutral-text-labelled](https://huggingface.co/datasets/seanius/toxic-or-neutral-text-labelled)
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The base model is required (distilbert-base-uncased)
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For an example of how to run the model, see the [csfy tool](https://github.com/mrseanryan/csfy).
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The output is a number indicating the class - you can decode that via the label_mapping.json file.
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license: mit
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