---
library_name: keras-hub
---
This is a [`CLIP` model](https://keras.io/api/keras_hub/models/clip) uploaded using the KerasHub library and can be used with JAX, TensorFlow, and PyTorch backends.
Model config:
* **name:** clip_backbone
* **trainable:** True
* **vision_encoder:** {'module': 'keras_hub.src.models.clip.clip_vision_encoder', 'class_name': 'CLIPVisionEncoder', 'config': {'name': 'clip_vision_encoder', 'trainable': True, 'patch_size': 14, 'hidden_dim': 1024, 'num_layers': 24, 'num_heads': 16, 'intermediate_dim': 4096, 'intermediate_activation': 'quick_gelu', 'intermediate_output_index': None, 'image_shape': [336, 336, 3]}, 'registered_name': 'keras_hub>CLIPVisionEncoder'}
* **text_encoder:** {'module': 'keras_hub.src.models.clip.clip_text_encoder', 'class_name': 'CLIPTextEncoder', 'config': {'name': 'clip_text_encoder', 'trainable': True, 'vocabulary_size': 49408, 'embedding_dim': 768, 'hidden_dim': 768, 'num_layers': 12, 'num_heads': 12, 'intermediate_dim': 3072, 'intermediate_activation': 'quick_gelu', 'intermediate_output_index': None, 'max_sequence_length': 77}, 'registered_name': 'keras_hub>CLIPTextEncoder'}
* **projection_dim:** 768

This model card has been generated automatically and should be completed by the model author. See [Model Cards documentation](https://huggingface.co/docs/hub/model-cards) for more information.