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semindan
/
mt5_wpr

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

Instructions to use semindan/mt5_wpr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use semindan/mt5_wpr with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("semindan/mt5_wpr")
    model = AutoModelForSeq2SeqLM.from_pretrained("semindan/mt5_wpr")
  • Notebooks
  • Google Colab
  • Kaggle
mt5_wpr
4.66 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
9c3918d verified over 1 year ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • config.json
    1.1 kB
    Upload MT5ForConditionalGeneration almost 3 years ago
  • generation_config.json
    142 Bytes
    Upload MT5ForConditionalGeneration almost 3 years ago
  • model.safetensors
    2.33 GB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    2.33 GB
    xet
    Upload MT5ForConditionalGeneration almost 3 years ago