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rubentito
/
t5-base-mpdocvqa

Transformers
PyTorch
English
t5
text2text-generation
DocVQA
Document Question Answering
Document Visual Question Answering
text-generation-inference
Model card Files Files and versions
xet
Community
3

Instructions to use rubentito/t5-base-mpdocvqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rubentito/t5-base-mpdocvqa with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("rubentito/t5-base-mpdocvqa")
    model = AutoModelForSeq2SeqLM.from_pretrained("rubentito/t5-base-mpdocvqa")
  • Notebooks
  • Google Colab
  • Kaggle
t5-base-mpdocvqa
1.78 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 16 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
8d9f26e almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    3.71 kB
    Update README.md about 3 years ago
  • config.json
    1.38 kB
    Initial commit over 3 years ago
  • model.safetensors
    892 MB
    xet
    Adding `safetensors` variant of this model almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    892 MB
    xet
    Initial commit over 3 years ago
  • special_tokens_map.json
    1.79 kB
    Initial commit over 3 years ago
  • spiece.model
    792 kB
    xet
    Initial commit over 3 years ago
  • tokenizer_config.json
    1.95 kB
    Update tokenizer_config.json almost 3 years ago