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PCS
/
Extract_Matic

Image-to-Text
Transformers
PyTorch
English
vision-encoder-decoder
image-text-to-text
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use PCS/Extract_Matic 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="PCS/Extract_Matic")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForImageTextToText
    
    tokenizer = AutoTokenizer.from_pretrained("PCS/Extract_Matic")
    model = AutoModelForImageTextToText.from_pretrained("PCS/Extract_Matic")
  • Notebooks
  • Google Colab
  • Kaggle
Extract_Matic
815 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
PCS's picture
PCS
Upload 11 files
2c5ccee verified almost 2 years ago
  • .gitattributes
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  • README.md
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  • added_tokens.json
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  • config.json
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  • generation_config.json
    231 Bytes
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  • preprocessor_config.json
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    809 MB
    xet
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  • sentencepiece.bpe.model
    1.3 MB
    xet
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  • special_tokens_map.json
    374 Bytes
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  • tokenizer.json
    4.25 MB
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  • tokenizer_config.json
    531 Bytes
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