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Word embedding is the collective name for a set of language modeling and feature learning techniques in NLP where words are mapped to vectors of real numbers in a low dimensional space, relative to the vocabulary size.

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how Can we add extra word embedding to the pytorch funnel transformer?

i was approaching NLP sequence classification problem (3 classes) using huggingface transformers (funnel-transformer/large) and tensorflow. first i created laserembedding like this : from laserembedd …
Syed Mobassir's user avatar