Instructions to use IMSyPP/hate_speech_it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IMSyPP/hate_speech_it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IMSyPP/hate_speech_it")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IMSyPP/hate_speech_it") model = AutoModelForSequenceClassification.from_pretrained("IMSyPP/hate_speech_it") - Notebooks
- Google Colab
- Kaggle
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# Hate Speech Classifier for Social Media Content in Italian Language
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A monolingual model for hate speech classification of social media content in Italian language. The model was trained on
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## Tokenizer
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The model classifies each input into one of four distinct classes:
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# Hate Speech Classifier for Social Media Content in Italian Language
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A monolingual model for hate speech classification of social media content in Italian language. The model was trained on 119,670 YouTube comments and tested on an independent test set of 21,072 YouTube comments. It is based on Italian ALBERTO pre-trained language model.
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## Tokenizer
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The model classifies each input into one of four distinct classes:
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* 0 - appropriate
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* 1 - inappropriate
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* 2 - offensive
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* 3 - violent
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