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: http://huggingface.co/course
Open in colab to run the code samples:
https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/videos/semantic_search.ipynb
Related videos:
– Loading a custom dataset — https://youtu.be/HyQgpJTkRdE
– Slide and dice a dataset 🔪 — https://youtu.be/tqfSFcPMgOI
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