runtime error

Exit code: 1. Reason: already been registered 2024-10-02 17:30:15.912822: 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. 2024-10-02 17:30:17.587057: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT HF Hub: 0.25.1 Traceback (most recent call last): File "/home/user/app/app.py", line 14, in <module> model = from_pretrained_keras( 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 570, 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 204, in load_model raise ValueError( ValueError: File format not supported: filepath=/home/user/.cache/huggingface/hub/models--fbadine--image-spam-detection/snapshots/e715bc7b9a100e4706d3b86ce67114c319abc0a0. 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--fbadine--image-spam-detection/snapshots/e715bc7b9a100e4706d3b86ce67114c319abc0a0, call_endpoint='serving_default')` (note that your `call_endpoint` might have a different name).

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