This is a DINOV2 model uploaded using the KerasHub library and can be used with JAX, TensorFlow, and PyTorch backends. Model config:

  • name: dinov2_backbone
  • trainable: True
  • patch_size: 14
  • num_layers: 24
  • hidden_dim: 1024
  • num_heads: 16
  • intermediate_dim: 4096
  • layer_scale_init_value: 1.0
  • num_register_tokens: 0
  • use_mask_token: True
  • use_swiglu_ffn: False
  • dropout_rate: 0.0
  • drop_path_rate: 0.0
  • image_shape: [518, 518, 3]
  • position_embedding_shape: [518, 518]
  • antialias_in_interpolation: False

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