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Sentence Similarity With Transformers and PyTorch

James Briggs via YouTube

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Overview

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This course demonstrates how to create sentence embeddings with a pretrained BERT model, mean-pool hidden states, and compare sentences using cosine similarity in Python with PyTorch.

Syllabus

Intro
BERT Base Network
Sentence Vectors and Similarity
The Data and Model
Two Approaches
Tokenizing Sentences
Creating last_hidden_state Tensor
Creating Sentence Vectors
Cosine Similarity

Taught by

James Briggs

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