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What are the three different embeddings that are generated from an input sentence in a Transformer model?
Embedding, classification, and next sentence embeddings
Token, segment, and position embeddings
Convolution, pooling, and recurrent embeddings
Recurrent, feedforward, and attention embeddings
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