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UNYIL17
/
MODEL-ONE-1

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Instructions to use UNYIL17/MODEL-ONE-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use UNYIL17/MODEL-ONE-1 with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://UNYIL17/MODEL-ONE-1")
    
  • Notebooks
  • Google Colab
  • Kaggle
A newer version of this model is available: deepseek-ai/DeepSeek-OCR
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Model tree for UNYIL17/MODEL-ONE-1

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Merge model
this model

Datasets used to train UNYIL17/MODEL-ONE-1

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OpenSQZ/AutoMathText-V2

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