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Exqrch
/
IndoDiscourse-ToxicityClassifier

Feature Extraction
Transformers
Safetensors
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Exqrch/IndoDiscourse-ToxicityClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Exqrch/IndoDiscourse-ToxicityClassifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Exqrch/IndoDiscourse-ToxicityClassifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Exqrch/IndoDiscourse-ToxicityClassifier")
    model = AutoModel.from_pretrained("Exqrch/IndoDiscourse-ToxicityClassifier")
  • Notebooks
  • Google Colab
  • Kaggle
IndoDiscourse-ToxicityClassifier
443 MB
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  • 1 contributor
History: 3 commits
Exqrch's picture
Exqrch
Adding tokenizer
6786c7f verified 8 months ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    5.17 kB
    Initial model upload 8 months ago
  • config.json
    727 Bytes
    Initial model upload 8 months ago
  • model.safetensors
    442 MB
    xet
    Initial model upload 8 months ago
  • special_tokens_map.json
    125 Bytes
    Adding tokenizer 8 months ago
  • tokenizer.json
    738 kB
    Adding tokenizer 8 months ago
  • tokenizer_config.json
    1.29 kB
    Adding tokenizer 8 months ago
  • vocab.txt
    235 kB
    Adding tokenizer 8 months ago