Text Classification
Transformers
Safetensors
PyTorch
English
roberta
hate-speech-detection
content-moderation
nlp
twitter
safety
offensive-language
Eval Results (legacy)
text-embeddings-inference
Instructions to use AuricErgeson/hate-speech-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AuricErgeson/hate-speech-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AuricErgeson/hate-speech-detector")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AuricErgeson/hate-speech-detector") model = AutoModelForSequenceClassification.from_pretrained("AuricErgeson/hate-speech-detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- tokenizer.json +21 -7
tokenizer.json
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"single_word": false,
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"direction": "Right",
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"max_length": 256,
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"strategy": "LongestFirst",
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"direction": "Right",
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"pad_token": "<pad>"
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