README.md

---
library_name: keras-hub
---
This is a [`SigLIP` model](https://keras.io/api/keras_hub/models/sig_lip) uploaded using the KerasHub library and can be used with JAX, TensorFlow, and PyTorch backends.
Model config:
* **name:** sig_lip_backbone
* **trainable:** True
* **vision_encoder:** {'module': 'keras_hub.src.models.siglip.siglip_vision_encoder', 'class_name': 'SigLIPVisionEncoder', 'config': {'name': 'sig_lip_vision_encoder', 'trainable': True, 'patch_size': 16, 'hidden_dim': 1536, 'num_layers': 40, 'num_heads': 16, 'intermediate_dim': 6144, 'intermediate_activation': 'gelu_approximate', 'layer_norm_epsilon': 1e-06, 'image_shape': [256, 256, 3]}, 'registered_name': 'keras_hub>SigLIPVisionEncoder'}
* **text_encoder:** {'module': 'keras_hub.src.models.siglip.siglip_text_encoder', 'class_name': 'SigLIPTextEncoder', 'config': {'name': 'sig_lip_text_encoder', 'trainable': True, 'vocabulary_size': 256000, 'embedding_dim': 1152, 'hidden_dim': 1152, 'num_layers': 27, 'num_heads': 16, 'intermediate_dim': 4304, 'intermediate_activation': 'gelu_approximate', 'layer_norm_epsilon': 1e-06, 'max_sequence_length': 64}, 'registered_name': 'keras_hub>SigLIPTextEncoder'}

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.