What is Transformers?
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.
Transformers is a tool in the NLP / Sentiment Analysis category of a tech stack.
Transformers is an open source tool with 68.5K GitHub stars and 15.9K GitHub forks. Here’s a link to Transformers's open source repository on GitHub
Who uses Transformers?
8 companies reportedly use Transformers in their tech stacks, including Shelf, quantilope, and Kinderboerderij het Gouden Gansje.
31 developers on StackShare have stated that they use Transformers.
Jobs that mention Transformers as a desired skillset
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United Kingdom of Great Britain and Northern Ireland England Farnborough
- High performance on NLU and NLG tasks
- Low barrier to entry for educators and practitioners
- Deep learning researchers
- Hands-on practitioners
- AI/ML/NLP teachers and educators
Transformers Alternatives & Comparisons
What are some alternatives to Transformers?
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It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.
rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.
It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to discover insights from text. Amazon Comprehend provides Keyphrase Extraction, Sentiment Analysis, Entity Recognition, Topic Modeling, and Language Detection APIs so you can easily integrate natural language processing into your applications.
Google Cloud Natural Language API
You can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts. You can use it to understand sentiment about your product on social media or parse intent from customer conversations happening in a call center or a messaging app. You can analyze text uploaded in your request or integrate with your document storage on Google Cloud Storage.