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santoshtyss
/
mt5_base_all_200000

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

Instructions to use santoshtyss/mt5_base_all_200000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use santoshtyss/mt5_base_all_200000 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("santoshtyss/mt5_base_all_200000")
    model = AutoModelForSeq2SeqLM.from_pretrained("santoshtyss/mt5_base_all_200000")
  • Notebooks
  • Google Colab
  • Kaggle
mt5_base_all_200000
2.35 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
santoshtyss's picture
santoshtyss
Upload tokenizer
d66b8e9 over 2 years ago
  • .gitattributes
    1.57 kB
    Upload tokenizer over 2 years ago
  • config.json
    840 Bytes
    Upload MT5ForConditionalGeneration over 2 years ago
  • generation_config.json
    142 Bytes
    Upload MT5ForConditionalGeneration over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    2.33 GB
    xet
    Upload MT5ForConditionalGeneration over 2 years ago
  • special_tokens_map.json
    74 Bytes
    Upload tokenizer over 2 years ago
  • spiece.model
    4.31 MB
    xet
    Upload tokenizer over 2 years ago
  • tokenizer.json
    16.3 MB
    xet
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    303 Bytes
    Upload tokenizer over 2 years ago