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")
https://huggingface.co/aakashjapi/temp/resolve/main/.python-version
hf download hf://aakashjapi/temp/.python-version
curl -L -o .python-version https://huggingface.co/aakashjapi/temp/resolve/main/.python-version
