Aspire Journeys

Introduction to Transformers

  • 4 Courses | 4h 45m
  • 3 Labs | 3h
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In this Journey, you will explore transformer models using Hugging Face's transformers library. You will learn the basics of Hugging Face and PyTorch, the different types of transformer models, how they work, how to use them for different language tasks such as text generation, summarization, and sentiment analysis, and how to evaluate the carbon emissions of transformer models.

Track 1: Introduction to Hugging Face

In this track of the Introduction to Transformers Aspire Journey, learn about the Hugging Face AI and machine learning platform and how their tools can streamline ML and AI development.

  • 1 Course | 1h 15m

Track 2: Introduction to PyTorch

In this track of the Introduction to Transformers Aspire Journey, the focus will be on what neural networks are, how to implement them with PyTorch, and how to use them for prediction tasks.

  • 1 Course | 55m
  • 1 Lab | 1h

Track 3: Introduction to Transformers with Hugging Face

In this track of the Introduction to Transformers Aspire Journey, the focus will be on what transformers are, how to perform language tasks like text generation with them, and how to estimate their carbon footprint.

  • 1 Course | 55m
  • 1 Lab | 1h

Track 4: Finetuning Transformer Models

In this track of the Introduction to Transformers Aspire Journey, the focus will be on finetuning transformer models with their own data, including with the cutting-edge techniques of LoRA and quantization.

  • 1 Course | 1h 40m
  • 1 Lab | 1h

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