How can you use GridSearchCV to find the optimal vocab size and embedding dimension for an LSTM?

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I'm trying to use GridSearchCV to find the best hyperparameters for an LSTM model, including the best parameters for vocab size and the word embeddings dimension. First, I prepared my testing and training data..

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