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 Don't have a Hugging Face account? Join now: http://huggingface.co/join Have a question? Checkout the forums: https://discuss.huggingface.co/c/course/20 Subscribe to our newsletter: https://huggingface.curated.co/