How to generate sentences from Transformer's sentence embeddings?
Is it possible to use the pre-trained transformer models to generate sentences from sentence embeddings?
I konw I can get the continuous representations of a sentence with for example BertModel or GPT2Model.
But can I reconstruct the sentence directly from the sentence representations generated by BertModel, with hugging-face transformer, especially the pre-trained ones?
I mean sentence embeddings as input, the readable sentence as output.
Sorry I'm not 100% sure, I get the question. Could you specify what you mean by `sentence embeddings` exactly and the output you would like with some code? :-) <|||||>This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
