nyu-mll/jiant

Health v2 · maintenance only

Adoption not part of the score

1673 stars · 296 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

jiant is a PyTorch-based NLP research toolkit for multitask and transfer learning, supporting 50+ natural language understanding tasks and benchmarks like GLUE, SuperGLUE, and XTREME. It is configuration-file driven and integrates with Hugging Face's transformers and datasets libraries.

Use cases

• run multitask learning experiments across NLU tasks
• apply transfer learning with STILTs to NLP tasks
• evaluate models on GLUE, SuperGLUE, and XTREME benchmarks
• fine-tune BERT and other transformer models on NLP tasks
• train sentence representation models
• benchmark pretrained language models across many tasks

When to choose

• conducting NLP research on multitask or transfer learning with PyTorch
• reproducing GLUE/SuperGLUE/XTREME benchmark experiments
• needing a configuration-driven harness for many NLU tasks

When to avoid

• you need active maintenance, new models, or updated library support (project unmaintained since October 2021)
• building production NLP applications rather than research experiments
• you want the latest transformer architectures or task support

Facets

library · maturity abandoned

machine-learning nlp llm-training machine-learning deep-learning python multitask-learning transfer-learning pytorch transformers bert glue-benchmark superglue xtreme research-toolkit sentence-representations natural-language-processing linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="nyu-mll/jiant")