https://www.youtube.com/watch?v=AN-iZblyZNE
https://www.youtube.com/watch?v=AN-iZblyZNE
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Discover how to harness the power of NOMIC Embed Vision v1.5 to find similar images within GNU Emacs Dired mode. With this innovative embeddings model, you can search for images based on semantic similarities using simple keywords. This is possible because the text model of NOMIC shares the same vector space as the Embed Vision model.
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Discover how to harness the power of NOMIC Embed Vision v1.5 to find similar images within GNU Emacs Dired mode. With this innovative embeddings model, you can search for images based on semantic similarities using simple keywords. This is possible because the text model of NOMIC shares the same vector space as the Embed Vision model.
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In this video, we'll show you how to run the script on your computer and explore the capabilities of this groundbreaking model. You'll learn how to find similar pictures and enjoy the convenience of searching for images using just a few words.
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In this video, we'll show you how to run the script on your computer and explore the capabilities of this groundbreaking model. You'll learn how to find similar pictures and enjoy the convenience of searching for images using just a few words.
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Don't miss out on this exciting opportunity to enhance your image searching experience with NOMIC Embed Vision v1.5 in Emacs Lisp.
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Don't miss out on this exciting opportunity to enhance your image searching experience with NOMIC Embed Vision v1.5 in Emacs Lisp.
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Script to run model:
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Script to run model:
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https://gitea.com/gnusupport/LLM-Helpers/src/branch/main/bin/nomic-embed-vision-v1.5-api.py
https://gitea.com/gnusupport/LLM-Helpers/src/branch/main/bin/nomic-embed-vision-v1.5-api.py
link
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https://www.youtube.com/watch?v=AN-iZblyZNE

Discover how to harness the power of NOMIC Embed Vision v1.5 to find similar images within GNU Emacs Dired mode. With this innovative embeddings model, you can search for images based on semantic similarities using simple keywords. This is possible because the text model of NOMIC shares the same vector space as the Embed Vision model.

In this video, we'll show you how to run the script on your computer and explore the capabilities of this groundbreaking model. You'll learn how to find similar pictures and enjoy the convenience of searching for images using just a few words.

Don't miss out on this exciting opportunity to enhance your image searching experience with NOMIC Embed Vision v1.5 in Emacs Lisp.

Script to run model:
https://gitea.com/gnusupport/LLM-Helpers/src/branch/main/bin/nomic-embed-vision-v1.5-api.py


68069ba1ec0af377186d85c4
https://cdn-avatars.huggingface.co/v1/production/uploads/noauth/5H5WH_ApsmzWgxMriKwtc.jpeg
Nayem Ahmed
nrnahmed0
user