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
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A monolingual model for hate speech classification of social media content in
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## Tokenizer
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During training the text was preprocessed using the original
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## Model output
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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 103190 YouTube comments and tested on an independent test set of 20554 YouTube comments. It is based on Italian ALBERTO pre-trained language model.
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## Tokenizer
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During training the text was preprocessed using the original Italian ALBERTO tokenizer. We suggest the same tokenizer is used for inference.
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## Model output
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The model classifies each input into one of four distinct classes:
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* 0 - appropriato
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* 1 - inappropriato
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* 2 - offensivo
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* 3 - violento
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