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1. de.wikipedia.org › wiki › TransformersTransformers – Wikipedia

   de.wikipedia.org › wiki › Transformers

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   Transformers. Transformers ( jap. トランスフォーマー, Toransufōmā, dt. „Transformer“) ist ein amerikanisch-japanisches Medien-Franchise, welches 1984 von den Spielzeug-Unternehmen Takara (Japan) und Hasbro (USA) begründet wurde. Das Franchise umfasst seit Beginn an Action-Figuren, Comics, Bücher und Zeichentrickserien, wenig ...

2. www.youtube.com › user › transformersTRANSFORMERS OFFICIAL - YouTube

   www.youtube.com › user › transformers

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   Welcome to the TRANSFORMERS OFFICIAL YouTube Channel for fans of all ages! Subscribe for the latest entertainment content and brand news from the TRANSFORMER...

3. 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.

4. byjus.com › jee › transformerTransformer - Definition, Types, Working Principle, Diagram

   byjus.com › jee › transformer

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   Working Principle of a Transformer. The transformer works on the principle of Faraday’s law of electromagnetic induction and mutual induction. There are usually two coils – primary coil and secondary coil – on the transformer core. The core laminations are joined in the form of strips. The two coils have high mutual inductance.

5. 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

6. blogs.nvidia.com › blog › what-is-a-transformer-modelWhat Is a Transformer Model? | NVIDIA Blogs

   blogs.nvidia.com › blog › what-is-a-transformer-model

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   25. März 2022 · Transformer models apply an evolving set of mathematical techniques, called attention or self-attention, to detect subtle ways even distant data elements in a series influence and depend on each other. First described in a 2017 paper from Google, transformers are among the newest and one of the most powerful classes of models invented to date.

7. www.electronics-tutorials.ws › transformer › transformerTransformer Basics - Basic Electronics Tutorials and Revision

   www.electronics-tutorials.ws › transformer › transformer

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   5. Apr. 2024 · Transformer Basics Example No1. A voltage transformer has 1500 turns of wire on its primary coil and 500 turns of wire for its secondary coil. What will be the turns ratio (TR) of the transformer. This ratio of 3:1 (3-to-1) simply means that there are three primary windings for every one secondary winding.