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It 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+ languages and deep interoperability between TensorFlow 2.0 and PyTorch.
5,546
companies
Technoloy Usage Stadistics and Market Share
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Technology
is any of
Transformers
Company | Country | Industry | Employees | Revenue | Technologies |
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Switzerland | Utilities | 28K | $12M | Transformers | |
United States | Retail | 10K | $50M | Transformers | |
Spain | Renewable Energy Power Generation | 43K | $9.2B | Transformers | |
United States | It Services And It Consulting | 135K |
| Transformers | |
Electric Power Generation | 53K |
| Transformers | ||
France | Automation Machinery Manufacturing | 166K | $26B | Transformers | |
France | Renewable Energy Equipment Manufacturing | 10K |
| Transformers | |
Canada | Computer Games | 850 | $1.5B | Transformers | |
United States | It Services And It Consulting | 202K | $50B | Transformers | |
United Kingdom | Professional Services | 37K | $7.6B | Transformers |
We have data on 5,546 companies that use Transformers. Our Transformers customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Transformers is used in 69 countries
There are 51 alternatives to Transformers
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Frequently asked questions
Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.
We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.
Transformers is a revolutionary technology in the field of Natural Language Processing (NLP) and Sentiment Analysis. Developed by researchers at Google in collaboration with OpenAI, Transformers have redefined the way machines understand and generate human language. Unlike traditional sequence-to-sequence models, Transformers leverage a self-attention mechanism that allows them to capture dependencies between words in a sentence more effectively.
Transformers belong to the category of deep learning models specifically designed for language-related tasks. They excel in tasks such as language translation, sentiment analysis, text summarization, and question-answering systems. By processing words in parallel rather than sequentially, Transformers have significantly improved the efficiency and accuracy of NLP tasks.
The history of Transformers dates back to 2017 when researchers at Google introduced the concept in a paper titled "Attention is All You Need." This seminal work laid the foundation for the Transformer architecture, which was further popularized by OpenAI's GPT (Generative Pre-trained Transformer) models. The motivation behind developing Transformers was to address the limitations of recurrent neural networks and traditional sequence models in capturing long-range dependencies in language.
Currently, Transformers dominate the NLP landscape and have captured a substantial market share in tasks requiring language understanding and generation. With the continuous advancements in Transformer-based models such as BERT, GPT-3, and RoBERTa, the technology is poised to further expand its market penetration. The future outlook for Transformers indicates a steady growth trajectory as more industries adopt NLP solutions for automated content generation, sentiment analysis, chatbots, and personalized user experiences.
You can access an updated list of companies using Transformers by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.
As of now, we have data on 5,546 companies that use Transformers.
Transformers is used by a diverse range of organizations across various industries, including "Utilities", "Retail", "Renewable Energy Power Generation", "It Services And It Consulting", "Electric Power Generation", "Automation Machinery Manufacturing", "Renewable Energy Equipment Manufacturing", "Computer Games", "It Services And It Consulting", "Professional Services". For a comprehensive list of all industries utilizing Transformers, please visit TheirStack.com.
Some of the companies that use Transformers include Hitachi Energy, Amazon.com, Siemens Energy, Amazon Web Services (AWS), GE Vernova, Schneider Electric, GE Renewable Energy, Kabam, Oracle, Wood and many more. You can find a complete list of 5,546 companies that use Transformers on TheirStack.com.
Based on our data, Transformers is most popular in United States (1,525 companies), United Kingdom (377 companies), India (211 companies), France (153 companies), Canada (137 companies), Germany (99 companies), Spain (84 companies), Netherlands (55 companies), Australia (45 companies), Singapore (35 companies). However, it is used by companies all over the world.
You can find companies using Transformers by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.