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1. huggingface.co › docs › transformersBERT - Hugging Face

   huggingface.co › docs › transformers

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   BERT is a pre-trained model that can be fine-tuned for various natural language processing tasks, such as question answering and text classification. Learn how to use BERT with Hugging Face Transformers, access official and community resources, and explore usage tips and examples.

2. arxiv.org › abs › 1810BERT: Pre-training of Deep Bidirectional Transformers for...

   arxiv.org › abs › 1810

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   11. Okt. 2018 · BERT is a deep bidirectional transformer that pre-trains on unlabeled text and fine-tunes for various natural language processing tasks. It achieves state-of-the-art results on eleven tasks, such as question answering and language inference.

   • Autor: Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova

   • Publish Year: 2018

3. towardsdatascience.com › keeping-up-with-the-berts-5b7beb92766BERT Explained: What it is and how does it work? | Towards Data...

   towardsdatascience.com › keeping-up-with-the-berts-5b7beb92766

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   26. Okt. 2020 · BERT is a powerful NLP model by Google that uses bidirectional pre-training and fine-tuning for various tasks. Learn about its architecture, pre-training tasks, inputs, outputs and applications in this article.

4. github.com › google-research › bertgoogle-research/bert - GitHub

   github.com › google-research › bert

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   BERT is a pre-trained language representation model that can be fine-tuned for various natural language tasks. This repository contains the official TensorFlow implementation of BERT, as well as pre-trained models, tutorials, and research papers.

5. en.wikipedia.org › wiki › BERT_(language_model)BERT (language model) - Wikipedia

   en.wikipedia.org › wiki › BERT_(language_model)

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   Bidirectional Encoder Representations from Transformers ( BERT) is a language model based on the transformer architecture, notable for its dramatic improvement over previous state of the art models. It was introduced in October 2018 by researchers at Google.

6. huggingface.co › blog › bert-101BERT 101 State Of The Art NLP Model Explained - Hugging Face

   huggingface.co › blog › bert-101

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   2. März 2022 · Learn what BERT is, how it works, and why it's a game-changer for natural language processing. BERT is a bidirectional transformer model that can perform 11+ common language tasks, such as sentiment analysis and question answering.

7. research.google › blog › open-sourcing-bert-state-of-the-art-preOpen Sourcing BERT: State-of-the-Art Pre-training for Natural...

   research.google › blog › open-sourcing-bert-state-of-the-art-pre

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   BERT is a deeply bidirectional, unsupervised language representation model that can be fine-tuned on various NLP tasks. Learn how BERT works, why it is different from previous models, and how to use it with Cloud TPUs and TensorFlow.