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purna419
/
invoice-parser

Image-to-Text
Transformers
PyTorch
vision-encoder-decoder
image-text-to-text
Model card Files Files and versions
xet
Community
2

Instructions to use purna419/invoice-parser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use purna419/invoice-parser with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("image-to-text", model="purna419/invoice-parser")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForImageTextToText
    
    tokenizer = AutoTokenizer.from_pretrained("purna419/invoice-parser")
    model = AutoModelForImageTextToText.from_pretrained("purna419/invoice-parser")
  • Notebooks
  • Google Colab
  • Kaggle
invoice-parser
815 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 43 commits
purna419's picture
purna419
Training done
eec412b almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    110 Bytes
    Update README.md almost 3 years ago
  • added_tokens.json
    1.19 kB
    Training done almost 3 years ago
  • config.json
    5.04 kB
    Training in progress, epoch 0 almost 3 years ago
  • generation_config.json
    221 Bytes
    Training in progress, epoch 0 almost 3 years ago
  • preprocessor_config.json
    421 Bytes
    Training done almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    809 MB
    xet
    Training in progress, epoch 29 almost 3 years ago
  • sentencepiece.bpe.model
    1.3 MB
    xet
    Training done almost 3 years ago
  • special_tokens_map.json
    355 Bytes
    Training done almost 3 years ago
  • tokenizer.json
    4.02 MB
    Training done almost 3 years ago
  • tokenizer_config.json
    510 Bytes
    Training done almost 3 years ago