How to use keras/siglip2_so400m_patch16_384 with KerasHub:
import keras_hub # Create a Backbone model unspecialized for any task backbone = keras_hub.models.Backbone.from_preset("hf://keras/siglip2_so400m_patch16_384")
How to use keras/siglip2_so400m_patch16_384 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_so400m_patch16_384")
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