PyText is a deep-learning based NLP modeling framework built on PyTorch. PyText addresses the often-conflicting requirements of enabling rapid experimentation and of serving models at scale. It achieves this by providing simple and extensible interfaces and abstractions for model components, and by using PyTorch’s capabilities of exporting models for inference via the optimized Caffe2 execution engine. We use PyText at Facebook to iterate quickly on new modeling ideas and then seamlessly ship them at scale. Distributed-training support built on the new C10d backend in PyTorch 1.0. Mixed precision training support through APEX (trains faster with less GPU memory on NVIDIA Tensor Cores). Extensible components that allows easy creation of new models and tasks.

Features

  • Production ready models for various NLP/NLU tasks
  • Extensible components that allow easy creation of new models and tasks
  • Ensemble training support
  • Distributed-training support (using the new C10d backend in PyTorch 1.0)
  • Reference implementation and a pre-trained models
  • Use PyText as a library and build your own models

Project Samples

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License

BSD License

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PyText Web Site

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Additional Project Details

Programming Language

Python

Related Categories

Python UML Tool, Python Frameworks, Python Deep Learning Frameworks, Python Natural Language Processing (NLP) Tool

Registered

2021-08-31