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fasherr
/
toxicity_rubert

Text Classification
Transformers
Safetensors
Russian
bert
toxicity
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use fasherr/toxicity_rubert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="fasherr/toxicity_rubert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("fasherr/toxicity_rubert")
    model = AutoModelForSequenceClassification.from_pretrained("fasherr/toxicity_rubert", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
toxicity_rubert
716 MB
Ctrl+K
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  • 2 contributors
History: 12 commits
fasherr's picture
fasherr
Update README.md
0c6dc42 verified 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    1.53 kB
    Update README.md 5 months ago
  • config.json
    1.05 kB
    Upload 9 files 6 months ago
  • model.safetensors
    711 MB
    xet
    Upload 9 files 6 months ago
  • rng_state.pth
    14.2 kB
    xet
    Upload 9 files 6 months ago
  • special_tokens_map.json
    125 Bytes
    Upload 9 files 6 months ago
  • tokenizer.json
    3.01 MB
    Upload 9 files 6 months ago
  • tokenizer_config.json
    1.27 kB
    Upload 9 files 6 months ago
  • trainer_state.json
    9.62 kB
    Upload 9 files 6 months ago
  • training_args.bin
    5.24 kB
    xet
    Upload 9 files 6 months ago
  • vocab.txt
    1.4 MB
    Upload 9 files 6 months ago