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finiteautomata
/
bert-contextualized-hate-speech-es

Text Classification
Transformers
PyTorch
JAX
bert
Model card Files Files and versions
xet
Community
1

Instructions to use finiteautomata/bert-contextualized-hate-speech-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use finiteautomata/bert-contextualized-hate-speech-es with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="finiteautomata/bert-contextualized-hate-speech-es")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("finiteautomata/bert-contextualized-hate-speech-es")
    model = AutoModelForSequenceClassification.from_pretrained("finiteautomata/bert-contextualized-hate-speech-es", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bert-contextualized-hate-speech-es
879 MB
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  • 2 contributors
History: 8 commits
patrickvonplaten's picture
patrickvonplaten
upload flax model
047fa04 over 5 years ago
  • .gitattributes
    736 Bytes
    allow flax over 5 years ago
  • added_tokens.json
    55 Bytes
    Move context to the back over 5 years ago
  • config.json
    774 Bytes
    Update over 5 years ago
  • flax_model.msgpack
    439 MB
    xet
    upload flax model over 5 years ago
  • pytorch_model.bin
    440 MB
    xet
    Move context to the back over 5 years ago
  • special_tokens_map.json
    177 Bytes
    Updated models over 5 years ago
  • tokenizer_config.json
    529 Bytes
    Updated models over 5 years ago
  • training_args.bin
    2.22 kB
    xet
    Update over 5 years ago
  • vocab.txt
    248 kB
    Updated models over 5 years ago