From the course: A Hands-On Introduction to Hugging Face for Developers
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Understanding transformers - Hugging Face Tutorial
From the course: A Hands-On Introduction to Hugging Face for Developers
Understanding transformers
- [Instructor] So what are Transformers? The Hugging Face Transformers library is a powerful tool that's revolutionizing the way we work with machine learning models, particularly in natural language processing. But it's not just limited to text. It also supports audio and vision tasks. The Transformers library provides a unified way to use state-of-the state-of-the-art, pre-trained models for a wide range of different tasks. These include text classification, information extraction, question answering, and even image and audio processing. One of the key strengths of the Transformers library is in its ease of use. With just a few lines of code, you can load a pre-trained model and use it for inference. The library supports a wide range of popular model architectures, and these models can be used as they are or fine-tuned on your specific data for better performance on your particular tasks. We will also be fine-tuning our own model later in the course. Transformers also provide tools…