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muzedotso
/
encoder-image-trocr

Image Feature Extraction
Transformers
Safetensors
vit
Model card Files Files and versions
xet
Community

Instructions to use muzedotso/encoder-image-trocr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use muzedotso/encoder-image-trocr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="muzedotso/encoder-image-trocr")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModel
    
    processor = AutoImageProcessor.from_pretrained("muzedotso/encoder-image-trocr")
    model = AutoModel.from_pretrained("muzedotso/encoder-image-trocr")
  • Notebooks
  • Google Colab
  • Kaggle
encoder-image-trocr
1.22 GB
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  • 1 contributor
History: 3 commits
muze-hippolev's picture
muze-hippolev
Upload processor
1b11cec verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.17 kB
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  • config.json
    495 Bytes
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  • merges.txt
    456 kB
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  • model.safetensors
    1.22 GB
    xet
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  • preprocessor_config.json
    617 Bytes
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  • special_tokens_map.json
    957 Bytes
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  • tokenizer.json
    2.11 MB
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  • tokenizer_config.json
    1.25 kB
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  • vocab.json
    798 kB
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