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b4c0n
/
KAi-Toxicity-Filter

Text Classification
Transformers
Safetensors
Japanese
bert
toxicity-detection
japanese
fine-tuned
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use b4c0n/KAi-Toxicity-Filter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use b4c0n/KAi-Toxicity-Filter with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="b4c0n/KAi-Toxicity-Filter")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("b4c0n/KAi-Toxicity-Filter")
    model = AutoModelForSequenceClassification.from_pretrained("b4c0n/KAi-Toxicity-Filter")
  • Notebooks
  • Google Colab
  • Kaggle
KAi-Toxicity-Filter
445 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 19 commits
b4c0n's picture
b4c0n
Update README.md
8139bfa verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • LICENSE-2.0.txt
    11.4 kB
    LICENSE upload 4 months ago
  • README.md
    7.45 kB
    Update README.md 4 months ago
  • config.json
    713 Bytes
    model upload 4 months ago
  • model.safetensors
    445 MB
    xet
    Upload folder using huggingface_hub 4 months ago
  • model_card_data.yaml
    878 Bytes
    Update model_card_data.yaml 4 months ago
  • special_tokens_map.json
    125 Bytes
    model upload 4 months ago
  • tokenizer_config.json
    1.43 kB
    model upload 4 months ago
  • vocab.txt
    231 kB
    model upload 4 months ago