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OwLim
/
roberta-hate-speech-detection

Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use OwLim/roberta-hate-speech-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use OwLim/roberta-hate-speech-detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="OwLim/roberta-hate-speech-detection")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("OwLim/roberta-hate-speech-detection")
    model = AutoModelForSequenceClassification.from_pretrained("OwLim/roberta-hate-speech-detection")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-hate-speech-detection / logs
39.6 kB
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  • 1 contributor
History: 39 commits
OwLim's picture
OwLim
Training in progress, epoch 19
c82ec63 verified about 1 year ago
  • events.out.tfevents.1748176724.64613a57203b.542.0
    20 kB
    xet
    End of training about 1 year ago
  • events.out.tfevents.1748178976.64613a57203b.542.1
    607 Bytes
    xet
    End of training about 1 year ago
  • events.out.tfevents.1748358488.7f91c3b55f9f.1285.2
    18.9 kB
    xet
    Training in progress, epoch 19 about 1 year ago