Instructions to use keras/siglip2_large_patch16_256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasHub
How to use keras/siglip2_large_patch16_256 with KerasHub:
import keras_hub # Create a Backbone model unspecialized for any task backbone = keras_hub.models.Backbone.from_preset("hf://keras/siglip2_large_patch16_256") - Keras
How to use keras/siglip2_large_patch16_256 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://keras/siglip2_large_patch16_256") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83b4775ed6ac12f308d5bca9dda73ac6f642916dd4bedd2acc3858bdb4a2a8f6
- Size of remote file:
- 3.53 GB
- SHA256:
- 836b730506a431b7ac4c1fa23ca5bc67613e1c2f283e09d06b14d5147cd0f4c7
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