nyu-mll/jiant
jiant is an nlp toolkit
This toolkit helps natural language processing (NLP) researchers evaluate and compare different models for understanding text. Researchers can input text datasets for various tasks, and the toolkit helps train and benchmark models using multitask and transfer learning approaches. It's designed for academics and practitioners exploring new methods in NLP.
1,674 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are an NLP researcher or practitioner developing and evaluating text understanding models across many tasks and benchmarks.
Not ideal if you need an actively maintained library with ongoing updates for new models or features.
Stars
1,674
Forks
297
Language
Python
License
MIT
Category
Last pushed
Jul 06, 2023
Commits (30d)
0
Dependencies
20
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/nyu-mll/jiant"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related models
Tongjilibo/bert4torch
An elegent pytorch implement of transformers
lonePatient/TorchBlocks
A PyTorch-based toolkit for natural language processing
monologg/JointBERT
Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"
grammarly/gector
Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite"...
appvision-ai/fast-bert
Super easy library for BERT based NLP models