Fix vocab_size in PositionalEmbedding in Transformer notebook

[8bitmp3]

@MarkDaoust @markmcd

Also addresses https://github.com/tensorflow/text/issues/1264

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[JuanVargas]

I corrected the code as suggested by Mark Doust and that solved the problem. Thank you! The code is:

embed_pt = PositionalEmbedding(vocab_size=tokenizers.pt.get_vocab_size().numpy(), d_model=512) embed_en = PositionalEmbedding(vocab_size=tokenizers.en.get_vocab_size().numpy(), d_model=512)

That said, why is that correction not added to the notebook at the TF site??