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PaulAdversarial
/
PAN_twitter_hate_speech_2021_ES_MT5

Transformers
PyTorch
mt5
text2text-generation
Model card Files Files and versions
xet
Community
1

Instructions to use PaulAdversarial/PAN_twitter_hate_speech_2021_ES_MT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use PaulAdversarial/PAN_twitter_hate_speech_2021_ES_MT5 with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("PaulAdversarial/PAN_twitter_hate_speech_2021_ES_MT5")
    model = AutoModelForSeq2SeqLM.from_pretrained("PaulAdversarial/PAN_twitter_hate_speech_2021_ES_MT5", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
PAN_twitter_hate_speech_2021_ES_MT5
1.21 GB
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  • 3 contributors
History: 6 commits
patrickvonplaten's picture
patrickvonplaten
allow flax
cc61ba8 over 5 years ago
  • .gitattributes
    782 Bytes
    allow flax over 5 years ago
  • README.md
    439 Bytes
    Create README.md over 5 years ago
  • config.json
    673 Bytes
    filez over 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "torch.FloatStorage"

    What is a pickle import?

    1.2 GB
    xet
    filez over 5 years ago
  • readme.md
    436 Bytes
    Create readme.md over 5 years ago
  • special_tokens_map.json
    65 Bytes
    filez over 5 years ago
  • spiece.model
    4.31 MB
    xet
    filez over 5 years ago
  • tokenizer_config.json
    307 Bytes
    filez over 5 years ago