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SotirisLegkas
/
multilingual_hate

Text Classification
Transformers
Safetensors
deberta-v2
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use SotirisLegkas/multilingual_hate with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="SotirisLegkas/multilingual_hate")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("SotirisLegkas/multilingual_hate")
    model = AutoModelForSequenceClassification.from_pretrained("SotirisLegkas/multilingual_hate")
  • Notebooks
  • Google Colab
  • Kaggle
multilingual_hate
1.14 GB
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  • 1 contributor
History: 7 commits
SotirisLegkas's picture
SotirisLegkas
Upload DebertaV2ForSequenceClassification
11098e2 verified about 2 years ago
  • .gitattributes
    151 Bytes
    Upload DebertaV2ForSequenceClassification about 2 years ago
  • added_tokens.json
    23 Bytes
    Upload tokenizer about 2 years ago
  • config.json
    1.1 kB
    Upload DebertaV2ForSequenceClassification about 2 years ago
  • model.safetensors
    1.12 GB
    xet
    Upload DebertaV2ForSequenceClassification about 2 years ago
  • special_tokens_map.json
    970 Bytes
    Upload tokenizer about 2 years ago
  • spm.model
    4.31 MB
    xet
    Upload tokenizer about 2 years ago
  • tokenizer.json
    16.3 MB
    xet
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    1.49 kB
    Upload tokenizer about 2 years ago