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1. github.com › huggingface › transformersGitHub - huggingface/transformers: Transformers: State-of-the-art...

   github.com › huggingface › transformers

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   Decision Transformer (from Berkeley/Facebook/Google) released with the paper Decision Transformer: Reinforcement Learning via Sequence Modeling by Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch.

2. huggingface.co › docs › transformersTransformers - Hugging Face

   huggingface.co › docs › transformers

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   Philosophy Glossary What 🤗 Transformers can do How 🤗 Transformers solve tasks The Transformer model family Summary of the tokenizers Attention mechanisms Padding and truncation BERTology Perplexity of fixed-length models Pipelines for webserver inference Model training anatomy Getting the most out of LLMs

3. builtin.com › artificial-intelligence › transformer-neural-networkTransformer Neural Networks: A Step-by-Step Breakdown

   builtin.com › artificial-intelligence › transformer-neural-network

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   24 mag 2024 · The transformer neural network is a novel architecture that aims to solve sequence-to-sequence tasks while handling long-range dependencies with ease. It was first proposed in the paper “ Attention Is All You Need ” and is now a state-of-the-art technique in the field of natural language processing (NLP).

4. arxiv.org › abs › 2304[2304.10557] An Introduction to Transformers - arXiv.org

   arxiv.org › abs › 2304

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   20 apr 2023 · The transformer is a neural network component that can be used to learn useful representations of sequences or sets of data-points. The transformer has driven recent advances in natural language processing, computer vision, and spatio-temporal modelling. There are many introductions to transformers, but most do not contain precise mathematical descriptions of the architecture and the ...

5. movieplayer.it › articoli › film-transformers-ordine-cronoFilm di Transformers: in che ordine vederli - Movieplayer.it

   movieplayer.it › articoli › film-transformers-ordine-crono

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   10 giu 2023 · Da Transformers - Il risveglio a Transformers - L'ultimo cavaliere: ecco come vedere (o rivedere) la saga di Transformers in ordine cronologico di trama.

6. paperswithcode.com › method › transformerTransformer Explained | Papers With Code

   paperswithcode.com › method › transformer

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   Transformer. A Transformer is a model architecture that eschews recurrence and instead relies entirely on an attention mechanism to draw global dependencies between input and output. Before Transformers, the dominant sequence transduction models were based on complex recurrent or convolutional neural networks that include an encoder and a decoder.

7. www.datacamp.com › tutorial › how-transformers-workHow Transformers Work: A Detailed Exploration of Transformer ......

   www.datacamp.com › tutorial › how-transformers-work

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   To put it simply: 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.