Optimize pooling layer options of BERT transformer based sentence embedding models (SBERT 4)
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YouTubeDiscover AI
Optimize pooling layer options of BERT transformer based sentence embedding models (SBERT 4)
Given that BERT is based on wordpieces, aggregating different transformer layers for a word embedding gains complexity when aggregating multiple, semantic different encoded, words for a sentence embedding. The pooling layers design will alter your results for sentene embedding significantly. Check out my python code in JupyterLab! #sbert # ...
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