View Source Bumblebee.Vision.ClipVision (Bumblebee v0.1.2)

The CLIP model for image encoding.

architectures
Architectures

"pixel_values" - {batch_size, image_size, image_size, num_channels}
Featurized image pixel values.

:image_size - the size of the input spatial dimensions. Defaults to 224
:num_channels - the number of channels in the input. Defaults to 3
:patch_size - the size of the patch spatial dimensions. Defaults to 32
:hidden_size - the dimensionality of hidden layers. Defaults to 768
:num_blocks - the number of Transformer blocks in the encoder. Defaults to 12
:num_attention_heads - the number of attention heads for each attention layer in the encoder. Defaults to 12
:activation - the activation function. Defaults to :quick_gelu
:dropout_rate - the dropout rate for encoder. Defaults to 0.0
:attention_dropout_rate - the dropout rate for attention weights. Defaults to 0.0
:layer_norm_epsilon - the epsilon used by the layer normalization layers. Defaults to 1.0e-5
:output_hidden_states - whether the model should return all hidden states. Defaults to false
:output_attentions - whether the model should return all attentions. Defaults to false
:num_labels - the number of labels to use in the last layer for the classification task. Defaults to 2
:id_to_label - a map from class index to label. Defaults to %{}