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gonzalobosque
/
multimodal-document-intelligence

Keras
Joblib
Safetensors
PyTorch
English
multimodal
document-classification
distilbert
efficientnet
late-fusion
rvl-cdip
tensorflow
scikit-learn
Model card Files Files and versions
xet
Community

Instructions to use gonzalobosque/multimodal-document-intelligence with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use gonzalobosque/multimodal-document-intelligence with Keras:

    # !pip install -U keras tensorflow huggingface_hub
    # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here;
    # "jax" and "torch" also work for computation once TensorFlow is installed.
    import os
    os.environ["KERAS_BACKEND"] = "tensorflow"
    
    import keras
    
    model = keras.saving.load_model("hf://gonzalobosque/multimodal-document-intelligence")
    
  • Notebooks
  • Google Colab
  • Kaggle
multimodal-document-intelligence / text_model
269 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
gonzalobosque's picture
gonzalobosque
Add multimodal classifier artifacts
84c9ebc verified 15 days ago
  • config.json
    1.38 kB
    Add multimodal classifier artifacts 15 days ago
  • model.safetensors
    268 MB
    xet
    Add multimodal classifier artifacts 15 days ago
  • special_tokens_map.json
    125 Bytes
    Add multimodal classifier artifacts 15 days ago
  • tokenizer.json
    711 kB
    Add multimodal classifier artifacts 15 days ago
  • tokenizer_config.json
    1.23 kB
    Add multimodal classifier artifacts 15 days ago
  • vocab.txt
    232 kB
    Add multimodal classifier artifacts 15 days ago