                                   num_layers=layer_config,
                                   output_dim=embed_dim,
                                   heads=vision_heads,
                                   patch_size=patch_size,
                                   name=self._name.lower())
  
      def __call__(self) -> tf.keras.Model:
          """ Get the configured ViT model
  
          Returns
 
</s> remove                                   name=self._name.lower())
 </s> add                                   name="visual") </s> remove                                 dtype=self.compute_dtype)
 </s> add                                 dtype=self.dtype) </s> remove                                                                dtype=self.compute_dtype),
 </s> add                                                                dtype=self.dtype),
                                 name="visual")
                                   num_layers=layer_config,
                                   output_dim=embed_dim,
                                   heads=vision_heads,
                                   patch_size=patch_size,
                                 name="visual")
  
      def __call__(self) -> tf.keras.Model:
          """ Get the configured ViT model
  
          Returns
keep keep keep keep replace keep keep keep keep keep
 fixes
  - Farl weight name fix
  - Embedding layers to fp32
  - nn_blocks - unique names for conv_output
  - Phaze-A - Add clipfaker presets 
lib/model/networks/clip.py