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Bookmark or Share- Transformer models: Definition, how they work, & applicationA transformer model follows an encoder-decoder structure. It is like a sophisticated communication system: the encoder meticulously analyzes the input sequence, extracting its meaning and nuances. At the same time, the decoder skillfully crafts the desired output sequence based on the encoder's understanding. Source: Jalammar
- Transformers - Hugging Face🤗 Transformers provides APIs and tools to easily download and train state-of-the-art pretrained models. Using pretrained models can reduce your compute costs, carbon footprint, and save you the time and resources required to train a model from scratch.
- Transformer (deep learning architecture) - WikipediaA transformer is a deep learning architecture developed by researchers at Google and based on the multi-head attention mechanism, proposed in the 2017 paper "Attention Is All You Need". [1]
- What is a Transformer Model? - IBMA transformer model is a type of deep learning model that was introduced in 2017. These models have quickly become fundamental in natural language processing (NLP), and have been applied to a wide range of tasks in machine learning and artificial intelligence.
- How Transformers Work: A Detailed Exploration of Transformer ...A transformer is a type of artificial intelligence model that learns to understand and generate human-like text by analyzing patterns in large amounts of text data. Transformers are a current state-of-the-art NLP model and are considered the evolution of the encoder-decoder architecture.
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