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batinium
/
glimo-dehatebert-hsd

Text Classification
Transformers
Safetensors
PyTorch
bert
hate-speech-detection
privhsd
glimo
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use batinium/glimo-dehatebert-hsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use batinium/glimo-dehatebert-hsd with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="batinium/glimo-dehatebert-hsd")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("batinium/glimo-dehatebert-hsd")
    model = AutoModelForSequenceClassification.from_pretrained("batinium/glimo-dehatebert-hsd")
  • Notebooks
  • Google Colab
  • Kaggle
glimo-dehatebert-hsd
672 MB
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  • 1 contributor
History: 2 commits
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batinium
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  • .gitattributes
    1.52 kB
    initial commit 13 days ago
  • README.md
    1.27 kB
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  • config.json
    1.19 kB
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  • eval_metrics.json
    36 Bytes
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  • label_mapping.json
    148 Bytes
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  • model.safetensors
    669 MB
    xet
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  • tokenizer.json
    2.56 MB
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  • tokenizer_config.json
    340 Bytes
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