How to use aakashjapi/temp with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://aakashjapi/temp")
A minimal tf.keras model with a single Lambda layer that doubles the input.
Input shape: (4,)
Saved in Keras v3 .keras format.
