How to use eyescry/PracticheskayaCK with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://eyescry/PracticheskayaCK")
