Getting Started With Embeddings

📰 Hugging Face Blog

Learn the basics of embeddings and how to get started with them using Hugging Face's resources

beginner Published 23 Jun 2022
Action Steps
  1. Understand the concept of embeddings as numerical representations of information
  2. Embed a dataset using Hugging Face's tools and libraries
  3. Host embeddings for free on the Hugging Face Hub
  4. Use embeddings to find similar items, such as Frequently Asked Questions
  5. Explore additional resources to keep learning about embeddings
Who Needs to Know This

Data scientists and machine learning engineers can benefit from understanding embeddings to improve their models' performance and efficiency. This knowledge can also be useful for software engineers and product managers working on AI-related projects

Key Insight

💡 Embeddings are numerical representations of information that can be used to improve machine learning models' performance and efficiency

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🤖 Learn about embeddings and how to get started with them using @HuggingFace's resources! #embeddings #machinelearning #AI

Key Takeaways

Learn the basics of embeddings and how to get started with them using Hugging Face's resources

Full Article

Published Time: 2022-06-23T00:00:00.095Z

# Getting Started With Embeddings

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# [](https://huggingface.co/blog/getting-started-with-embeddings#getting-started-with-embeddings) Getting Started With Embeddings

Published June 23, 2022

[Update on GitHub](https://github.com/huggingface/blog/blob/main/getting-started-with-embeddings.md)

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[Omar Espejel espejelomar Follow](https://huggingface.co/espejelomar)

* [Understanding embeddings](https://huggingface.co/blog/getting-started-with-embeddings#understanding-embeddings "Understanding embeddings")

* [What are embeddings for?](https://huggingface.co/blog/getting-started-with-embeddings#what-are-embeddings-for "What are embeddings for?")

* [Getting started with embeddings](https://huggingface.co/blog/getting-started-with-embeddings#getting-started-with-embeddings-1 "Getting started with embeddings")

* [1. Embedding a dataset](https://huggingface.co/blog/getting-started-with-embeddings#1-embedding-a-dataset "1. Embedding a dataset")

* [2. Host embeddings for free on the Hugging Face Hub](https://huggingface.co/blog/getting-started-with-embeddings#2-host-embeddings-for-free-on-the-hugging-face-hub "2. Host embeddings for free on the Hugging Face Hub")

* [3. Get the most similar Frequently Asked Questions to a query](https://huggingface.co/blog/getting-started-with-embeddings#3-get-the-most-similar-frequently-asked-questions-to-a-query "3. Get the most similar Frequently Asked Questions to a query")

* [Additional resources to keep learning](https://huggingface.co/blog/getting-started-with-embeddings#additional-resources-to-keep-learning "Additional resources to keep learning")

Check out this tutorial with the Notebook Companion: [![Image 9: Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/blog/blob/main/notebooks/80_getting_started_with_embeddings.ipynb)
## [](https://huggingface.co/blog/getting-started-with-embeddings#understanding-embeddings) Understanding embeddings

An embedding is a numerical representation of a piece of information, for example, te
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