How to use google/paligemma2-3b-pt-448-keras with KerasHub:
import keras_hub # Create a Backbone model unspecialized for any task backbone = keras_hub.models.Backbone.from_preset("hf://google/paligemma2-3b-pt-448-keras")
How to use google/paligemma2-3b-pt-448-keras with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://google/paligemma2-3b-pt-448-keras")
