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vedaco
/
Tera.v3

Image-Text-to-Text
Keras
English
multimodal
tensorflow
sovereign-intelligence
dense-elite
Model card Files Files and versions
xet
Community

Instructions to use vedaco/Tera.v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use vedaco/Tera.v3 with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://vedaco/Tera.v3")
    
  • Notebooks
  • Google Colab
  • Kaggle
Tera.v3
4.35 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 23 commits
vedaco's picture
vedaco
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  • .gitattributes
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    initial commit 29 days ago
  • README.md
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  • app.py
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  • requirements.txt
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  • stable.weights.h5
    4.26 MB
    xet
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