Does the use of Freeze Graph not result in a reduction of the size of pre-trained embedding model files?

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No, the use of Freeze Graph does not result in a reduction of the size of pre-trained embedding model files. Freeze Graph is a method that removes the training-related nodes and operations from a graph and saves the resulting "frozen" graph as a single file. However, this process does not reduce the size of the pre-trained embedding model files, as the frozen graph still contains all the weights and parameters of the model. The size of the pre-trained embedding model files is determined by the complexity and size of the model architecture and the number of parameters it contains.