Transformers (Attention is all you need) with Word2Vec or GloVe?
If you train a new transformer, you can do whatever you want with the bottom layer.
Most likely you are asking about pretrained transformers, though.  Pretrained transformers such as Bert will have their own embeddings of the word pieces.  In that case, you will probably get sufficient results just by using the results of the transformer.
I am new to NLP and i am confused about the embedding.
Is it possible, if i already have trained GloVe embeddings / or Word2Vec embeddings and send these into Transformer? Or does the Transformer needs raw data and do its own embedding?
(Language: python, keras)