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SilverAvocado
/
Silver-Multimodal

Keras
Korean
English
transformer
video
audio
homecam
multimodal
senior
yolo
mediapipe
Model card Files Files and versions
xet
Community

Instructions to use SilverAvocado/Silver-Multimodal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use SilverAvocado/Silver-Multimodal with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://SilverAvocado/Silver-Multimodal")
    
  • Notebooks
  • Google Colab
  • Kaggle
Silver-Multimodal / variables
95.1 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
yunzi7's picture
yunzi7
Upload folder using huggingface_hub
4ed3d23 verified over 1 year ago
  • variables.data-00000-of-00001
    95.1 MB
    xet
    Upload folder using huggingface_hub over 1 year ago
  • variables.index
    24 kB
    Upload folder using huggingface_hub over 1 year ago