YRL-AIDA/RuTaBERT

RuTaBERT is a framework for solving column type and property annotation problems based on fine-tuning a pre-trained language model (e.g., BERT) using a large-scale corpus of Russian-language tables.

22
/ 100
Experimental

No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 9 / 25
Community 9 / 25

How are scores calculated?

Stars

7

Forks

1

Language

Python

License

MIT

Category

bert-model-implementations

Last pushed

Mar 27, 2025

Commits (30d)

0

GitHub
BERT Model Implementations · 68 models

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/transformers/YRL-AIDA/RuTaBERT"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

Tongjilibo/bert4torch

An elegent pytorch implement of transformers

74

nyu-mll/jiant

jiant is an nlp toolkit

63

lonePatient/TorchBlocks

A PyTorch-based toolkit for natural language processing

53

grammarly/gector

Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite"...

51

monologg/JointBERT

Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"

51

Explore Transformer Models

All categories Trending Transformer directory Insights