07:12:15.990666: W tensorflow/compiler/xla/stream_executor/platform/default/dso_:64] Could not load dynamic library 'libnvinfer_plugin.so.7' dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory 07:12:15.990564: W tensorflow/compiler/xla/stream_executor/platform/default/dso_:64] Could not load dynamic library 'libnvinfer.so.7' dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory Install and import TensorFlow and dependencies: pip install pyyaml h5py # Required to save models in HDF5 format import os For other approaches, refer to the Using the SavedModel format guide and the Save and load Keras models guide. This guide uses tf.keras-a high-level API to build and train models in TensorFlow. There are different ways to save TensorFlow models depending on the API you're using. See Using TensorFlow Securely for details. Caution: TensorFlow models are code and it is important to be careful with untrusted code. Sharing this data helps others understand how the model works and try it themselves with new data. the trained weights, or parameters, for the model.When publishing research models and techniques, most machine learning practitioners share: Saving also means you can share your model and others can recreate your work. This means a model can resume where it left off and avoid long training times. Model progress can be saved during and after training.
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