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All of the above, it's like asking what problems can you solve with math? HuggingFace's transformers are said to be a swiss army knife for NLP. I haven't worked with them yet, but the main fundamental utility seems to be generating fixed-length vector representations of words. Word2vec started this, but the vectors have gotten much better with stuff like BERT.



I thought transformers are mainly used for multi-word embeddings?!




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