runtime error

2024-05-30 02:34:55.304551: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2024-05-30 02:34:55.374920: 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. 2024-05-30 02:34:56.941339: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT Traceback (most recent call last): File "/usr/local/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py", line 951, in from_pretrained config_class = CONFIG_MAPPING[config_dict["model_type"]] File "/usr/local/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py", line 653, in __getitem__ raise KeyError(key) KeyError: 'sequential' During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/home/user/app/app.py", line 7, in <module> get_completion = pipeline("image-classification",model="carolcarneiro/keras-dummy-sequential-demo") File "/usr/local/lib/python3.10/site-packages/transformers/pipelines/__init__.py", line 816, in pipeline config = AutoConfig.from_pretrained( File "/usr/local/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py", line 953, in from_pretrained raise ValueError( ValueError: The checkpoint you are trying to load has model type `sequential` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.

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