Text Classification
Transformers
Safetensors
PyTorch
English
Serbian
xlm-roberta
hate-speech-detection
multilingual
serbian
english
text-embeddings-inference
Instructions to use sadjava/multilingual-hate-speech-xlm-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sadjava/multilingual-hate-speech-xlm-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sadjava/multilingual-hate-speech-xlm-roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sadjava/multilingual-hate-speech-xlm-roberta") model = AutoModelForSequenceClassification.from_pretrained("sadjava/multilingual-hate-speech-xlm-roberta") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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```bibtex
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@misc{multilingual-hate-speech-xlm-roberta,
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author = {
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title = {Multilingual Hate Speech Detector},
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year = {2024},
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publisher = {Hugging Face},
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```bibtex
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@misc{multilingual-hate-speech-xlm-roberta,
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author = {sadjava},
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title = {Multilingual Hate Speech Detector},
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year = {2024},
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publisher = {Hugging Face},
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