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unicamp-dl
/
mt5-base-en-msmarco

Transformers
PyTorch
Portuguese
mt5
text2text-generation
msmarco
t5
tensorflow
en
Model card Files Files and versions
xet
Community
2

Instructions to use unicamp-dl/mt5-base-en-msmarco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use unicamp-dl/mt5-base-en-msmarco with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("unicamp-dl/mt5-base-en-msmarco")
    model = AutoModelForSeq2SeqLM.from_pretrained("unicamp-dl/mt5-base-en-msmarco")
  • Notebooks
  • Google Colab
  • Kaggle
mt5-base-en-msmarco
2.33 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
lhbonifacio's picture
lhbonifacio
Update README.md
05c8734 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    1.29 kB
    Update README.md over 4 years ago
  • config.json
    691 Bytes
    Initial commit over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    2.33 GB
    xet
    Initial commit over 4 years ago
  • special_tokens_map.json
    65 Bytes
    Initial commit over 4 years ago
  • spiece.model
    4.31 MB
    xet
    Initial commit over 4 years ago
  • tokenizer_config.json
    432 Bytes
    Initial commit over 4 years ago