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You're reading from  Transformers for Natural Language Processing and Computer Vision - Third Edition

Product typeBook
Published inFeb 2024
Reading LevelN/a
PublisherPackt
ISBN-139781805128724
Edition3rd Edition
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Denis Rothman
Denis Rothman
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Denis Rothman

Denis Rothman graduated from Sorbonne University and Paris-Diderot University, designing one of the very first word2matrix patented embedding and patented AI conversational agents. He began his career authoring one of the first AI cognitive Natural Language Processing (NLP) chatbots applied as an automated language teacher for Moet et Chandon and other companies. He authored an AI resource optimizer for IBM and apparel producers. He then authored an Advanced Planning and Scheduling (APS) solution used worldwide.
Read more about Denis Rothman

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Training models with AutoTrain

When we activate the training process, Hugging Face first downloads our data from the Hugging Face Hub, where we uploaded our dataset.

Hugging Face’s AutoTrain interface provides a rapid, seamless, and intuitive approach to training text and vision models. Just click on Start Training when you are ready, as shown in Figure 18.8:

A blue rectangle with white text  Description automatically generated

Figure 18.8: AutoTrain: an intuitive approach

Hugging Face AutoTrain’s module acts as an overall controller for your training process. For more, read Hugging Face’s documentation, which evolves constantly as the platform makes progress: https://huggingface.co/docs/autotrain/main/en/index#who-should-use-autotrain.

Once a model is trained, we can train other ones to create a trained model set of potential candidates for our project.

Reminder: Evaluate the cost of training before running a training process. Budget management remains a critical factor in training AI models.

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Transformers for Natural Language Processing and Computer Vision - Third Edition
Published in: Feb 2024Publisher: PacktISBN-13: 9781805128724

Author (1)

author image
Denis Rothman

Denis Rothman graduated from Sorbonne University and Paris-Diderot University, designing one of the very first word2matrix patented embedding and patented AI conversational agents. He began his career authoring one of the first AI cognitive Natural Language Processing (NLP) chatbots applied as an automated language teacher for Moet et Chandon and other companies. He authored an AI resource optimizer for IBM and apparel producers. He then authored an Advanced Planning and Scheduling (APS) solution used worldwide.
Read more about Denis Rothman