File:Migrating from OpenAI models to Hugging Face models.webm

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Original file(WebM audio/video file, VP9/Opus, length 14 min 9 s, 1,920 × 1,080 pixels, 534 kbps overall, file size: 54.04 MB)

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English: In this video, we'll be discussing the seamless migration of your applications from OpenAI models to Hugging Face's open-source alternatives. We'll cover the step-by-step process of deploying a Llama3 8B model on a Google Cloud Inference Endpoint and invoking it with the OpenAI client library. Additionally, we'll deploy a Zephyr 7B model on Amazon SageMaker and demonstrate how easily it can be integrated with the OpenAI Messages API. By the end of this video, you'll be equipped with the knowledge to unlock the full potential of open-source models, all without rewriting your existing code!

This video is perfect for data scientists, machine learning engineers, and developers looking to explore the benefits of open-source models and expand their ML engineering toolkit.

  1. OpenAI #HuggingFace #MLEngineering

⭐️⭐️⭐️ Don't forget to subscribe to be notified of future videos. Follow me on Medium at https://julsimon.medium.com or Substack at https://julsimon.substack.com. ⭐️⭐️⭐️

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Blog: https://huggingface.co/blog/tgi-messages-api
Date
Source YouTube: Migrating from OpenAI models to Hugging Face models – View/save archived versions on archive.org and archive.today
Author Julien Simon

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This file is licensed under the Creative Commons Attribution 3.0 Unported license.
Attribution: Julien Simon
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Date/TimeThumbnailDimensionsUserComment
current15:48, 11 September 202414 min 9 s, 1,920 × 1,080 (54.04 MB)Prototyperspective (talk | contribs)Imported media from https://www.youtube.com/watch?v=dYD1HugbBGY

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Format Bitrate Download Status Encode time
VP9 1080P 954 kbps Completed 16:43, 11 September 2024 36 min 3 s
VP9 720P 552 kbps Completed 16:20, 11 September 2024 13 min 57 s
VP9 480P 316 kbps Completed 16:02, 11 September 2024 8 min 21 s
VP9 360P 197 kbps Completed 16:01, 11 September 2024 6 min 48 s
VP9 240P 136 kbps Completed 15:58, 11 September 2024 4 min 43 s
WebM 360P 515 kbps Completed 15:59, 11 September 2024 5 min 18 s
Streaming 144p (MJPEG) 1 Mbps Completed 15:54, 11 September 2024 39 s
Stereo (Opus) 77 kbps Completed 15:59, 11 September 2024 14 s
Stereo (MP3) 128 kbps Completed 15:58, 11 September 2024 19 s

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