Text embeddings & semantic search

Learn how Transformer models can be used to represent documents and queries as vectors called embeddings. In this video, we apply this technique to create a semantic search engine!

This video is part of the Hugging Face course: huggingface.co/course
Open in colab to run the code samples:
colab.research.google.com/github/huggingface/noteb…

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