Text Classification
Transformers
PyTorch
Italian
xlm-roberta
text classification
abusive language
hate speech
offensive language
text-embeddings-inference
Instructions to use MilaNLProc/hate-ita-xlm-r-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MilaNLProc/hate-ita-xlm-r-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MilaNLProc/hate-ita-xlm-r-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MilaNLProc/hate-ita-xlm-r-large") model = AutoModelForSequenceClassification.from_pretrained("MilaNLProc/hate-ita-xlm-r-large") - Notebooks
- Google Colab
- Kaggle
Update README.md (#1)
Browse files- Update README.md (4bab7a3612e0d154a97cd6c26eb7e8652a650974)
Co-authored-by: Giuseppe Attanasio <g8a9@users.noreply.huggingface.co>
README.md
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[Giuseppe Attanasio](https://gattanasio.cc/)
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# HATE-ITA
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HATE-ITA is a binary hate speech classification model for Italian social media text.
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<img src="https://raw.githubusercontent.com/MilaNLProc/hate-ita/main/hateita.png?token=GHSAT0AAAAAABTEBAJ4PNDWAMU3KKIGUOCSYWG4IBA" width="200">
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[Giuseppe Attanasio](https://gattanasio.cc/)
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# HATE-ITA Large
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HATE-ITA is a binary hate speech classification model for Italian social media text.
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<img src="https://raw.githubusercontent.com/MilaNLProc/hate-ita/main/hateita.png?token=GHSAT0AAAAAABTEBAJ4PNDWAMU3KKIGUOCSYWG4IBA" width="200">
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