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amphora
/
KorFinASC-mT5

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

Instructions to use amphora/KorFinASC-mT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use amphora/KorFinASC-mT5 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("amphora/KorFinASC-mT5")
    model = AutoModelForSeq2SeqLM.from_pretrained("amphora/KorFinASC-mT5")
  • Notebooks
  • Google Colab
  • Kaggle
KorFinASC-mT5
4.93 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
amphora's picture
amphora
Upload MT5ForConditionalGeneration
7950fef about 3 years ago
  • .gitattributes
    1.53 kB
    Upload tokenizer about 3 years ago
  • config.json
    828 Bytes
    Upload MT5ForConditionalGeneration about 3 years ago
  • generation_config.json
    142 Bytes
    Upload MT5ForConditionalGeneration about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    4.92 GB
    xet
    Upload MT5ForConditionalGeneration about 3 years ago
  • special_tokens_map.json
    74 Bytes
    Upload tokenizer about 3 years ago
  • tokenizer.json
    16.3 MB
    xet
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    447 Bytes
    Upload tokenizer about 3 years ago