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Falconsai
/
offensive_speech_detection

Text Classification
Transformers
PyTorch
Safetensors
English
distilbert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use Falconsai/offensive_speech_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Falconsai/offensive_speech_detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Falconsai/offensive_speech_detection")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Falconsai/offensive_speech_detection")
    model = AutoModelForSequenceClassification.from_pretrained("Falconsai/offensive_speech_detection", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
offensive_speech_detection
1.07 GB
Ctrl+K
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  • 3 contributors
History: 53 commits
RealFalconsAI's picture
RealFalconsAI
Update README.md
0b9e637 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
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  • config.json
    742 Bytes
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  • model.safetensors
    268 MB
    xet
    Adding `safetensors` variant of this model (#1) over 2 years ago
  • optimizer.pt
    536 MB
    xet
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  • pytorch_model.bin
    268 MB
    xet
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  • rng_state.pth
    14.5 kB
    xet
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  • scheduler.pt
    627 Bytes
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    320 Bytes
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  • trainer_state.json
    10.8 kB
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  • training_args.bin
    3.96 kB
    xet
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  • vocab.txt
    232 kB
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