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1. www.youtube.com › watchTransformers' Most Exciting Scenes - YouTube

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   "Autobots, roll out!" Relive all the craziest, most jaw-dropping, sickest scenes in the Transformers franchise with Optimus Prime, Bumblebee, Megatron, and m...

   • Durata video: 30 min
   • Visualizzazioni: 15,9M

   • Autore: Movieclips

2. www.imdb.com › title › tt0086817The Transformers (TV Series 1984–1987) - IMDb

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   The Transformers: Created by Henry Orenstein. With Frank Welker, Peter Cullen, Corey Burton, Christopher Collins. Two opposing factions of transforming alien robots engage in a battle that has the fate of Earth in the balance.

   • Durata video: 1 min

   • Visualizzazioni: 77

3. huggingface.co › sentence-transformerssentence-transformers (Sentence Transformers) - Hugging Face

   huggingface.co › sentence-transformers

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   In the following you find models tuned to be used for sentence / text embedding generation. They can be used with the sentence-transformers package.

4. 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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   Explore the architecture of Transformers, the models that have revolutionized data handling through self-attention mechanisms, surpassing traditional RNNs, and paving the way for advanced models like BERT and GPT.

5. www.youtube.com › watchTransformers One - Official Trailer | 2024 | Hasbro Pulse

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   18 apr 2024 · Every Transformer has an origin. Watch the new trailer for #TransformersOne - only in theaters September 20. #Transformers #TransformersMovie #MORETHANMEETST...

   • Durata video: 3 min
   • Visualizzazioni: 2,4M

   • Autore: Hasbro Pulse

6. huggingface.co › transformers › v3Transformers — transformers 3.0.2 documentation

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   Transformers¶. State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0. 🤗 Transformers (formerly known as pytorch-transformers and pytorch-pretrained-bert) provides general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet…) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in 100 ...

7. huggingface.co › learn › nlp-courseHow do Transformers work? - Hugging Face NLP Course

   huggingface.co › learn › nlp-course

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   The Transformer architecture was introduced in June 2017. The focus of the original research was on translation tasks. This was followed by the introduction of several influential models, including: