What is Flair?

Flair allows you to apply our state-of-the-art natural language processing (NLP) models to your text, such as named entity recognition (NER), part-of-speech tagging (PoS), sense disambiguation and classification.
Flair is a tool in the NLP / Sentiment Analysis category of a tech stack.
Flair is an open source tool with GitHub stars and GitHub forks. Here’s a link to Flair's open source repository on GitHub

Who uses Flair?

Companies

Developers
12 developers on StackShare have stated that they use Flair.

Flair Integrations

Pros of Flair
1
Open Source

Jobs that mention Flair as a desired skillset

CBRE
United Kingdom of Great Britain and Northern Ireland England London
CBRE
India Telangana Hyderabad
CBRE
United Kingdom of Great Britain and Northern Ireland England London
CBRE
India Telangana Hyderabad
See all jobs

Flair's Features

  • A powerful NLP library
  • Multilingual
  • A text embedding library
  • A PyTorch NLP framework

Flair Alternatives & Comparisons

What are some alternatives to Flair?
Hogan.js
Hogan.js is a 3.4k JS templating engine developed at Twitter. Use it as a part of your asset packager to compile templates ahead of time or include it in your browser to handle dynamic templates.
Keen
Keen is a powerful set of API's that allow you to stream, store, query, and visualize event-based data. Customer-facing metrics bring SaaS products to the next level with acquiring, engaging, and retaining customers.
SpaCy
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
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.
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.
See all alternatives

Flair's Followers
51 developers follow Flair to keep up with related blogs and decisions.