facebookresearch/pytext

Health v2 · maintenance only

Flags: archived no_license

Adoption not part of the score

6292 stars · 784 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

PyText is a deep-learning-based NLP modeling framework built on PyTorch, providing extensible abstractions for text classifiers, sequence taggers, and joint intent-slot models with distributed and mixed-precision training support. It is now deprecated, with users directed to migrate to torchtext.

Use cases

• train text classification models in pytorch
• build named entity recognition sequence taggers
• train joint intent and slot filling models for dialog
• run distributed nlp model training on multiple gpus
• experiment with nlp model architectures quickly
• semantic parsing for task-oriented dialog

When to choose

• you are maintaining an existing PyText-based pipeline
• you need the reference implementations of the papers it reproduces

When to avoid

• starting a new NLP project - use torchtext instead
• you need actively maintained software or long-term support
• you need modern transformer-based LLM workflows

Facets

framework · maturity abandoned

machine-learning nlp deep-learning llm-training machine-learning deep-learning python pytorch deprecated text-classification sequence-labeling intent-detection named-entity-recognition semantic-parsing facebook-research natural-language-processing linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="facebookresearch/pytext")