Any idea how to handle text pre/post processing in case of custom models?
With input signatures, we have to define the input as well as the output shapes and dtypes for a tensor to be processed by a function/method. But how do I preprocess the text from string to indices so that it could be fed into the model?
any help would be highly appreciated   : )