runtime error

524: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 2024-07-15 11:14:07.839782: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT Traceback (most recent call last): File "/home/user/app/app.py", line 7, in <module> model = from_pretrained_keras("keras-io/structured-data-classification") File "/usr/local/lib/python3.10/site-packages/huggingface_hub/keras_mixin.py", line 293, in from_pretrained_keras return KerasModelHubMixin.from_pretrained(*args, **kwargs) File "/usr/local/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn return fn(*args, **kwargs) File "/usr/local/lib/python3.10/site-packages/huggingface_hub/hub_mixin.py", line 558, in from_pretrained instance = cls._from_pretrained( File "/usr/local/lib/python3.10/site-packages/huggingface_hub/keras_mixin.py", line 494, in _from_pretrained model = keras.models.load_model(storage_folder) File "/usr/local/lib/python3.10/site-packages/keras/src/saving/saving_api.py", line 199, in load_model raise ValueError( ValueError: File format not supported: filepath=/home/user/.cache/huggingface/hub/models--keras-io--structured-data-classification/snapshots/e6ca9fed1619eac4c7be2ac9ca8fc57f7d1ea288. Keras 3 only supports V3 `.keras` files and legacy H5 format files (`.h5` extension). Note that the legacy SavedModel format is not supported by `load_model()` in Keras 3. In order to reload a TensorFlow SavedModel as an inference-only layer in Keras 3, use `keras.layers.TFSMLayer(/home/user/.cache/huggingface/hub/models--keras-io--structured-data-classification/snapshots/e6ca9fed1619eac4c7be2ac9ca8fc57f7d1ea288, call_endpoint='serving_default')` (note that your `call_endpoint` might have a different name).

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