RahulNenavath/Keyword-Generation

Automatic Keyword Generation using Statistical and Language Models. Benchmarked YAKE, KeyBERT, Fine-tuned T5, and built a two-stage pipeline generation pipeline with llama 3 LLM. Best achieved Rouge 1 score of 38% with Fine-tuned T5 model.

10
/ 100
Experimental
No License No Package No Dependents
Maintenance 6 / 25
Adoption 1 / 25
Maturity 3 / 25
Community 0 / 25

How are scores calculated?

Stars

1

Forks

—

Language

Jupyter Notebook

License

—

Category

t5-mt5-fine-tuning

Last pushed

Oct 26, 2025

Commits (30d)

0

GitHub
T5 mT5 Fine-tuning · 26 models

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/transformers/RahulNenavath/Keyword-Generation"

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

Higher-rated alternatives

Shivanandroy/simpleT5

simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train...

55

chanind/frame-semantic-transformer

Frame Semantic Parser based on T5 and FrameNet

51

Shivanandroy/KeyPhraseTransformer

KeyPhraseTransformer lets you quickly extract key phrases, topics, themes from your text data ...

49

osainz59/t5-encoder

A extension of Transformers library to include T5ForSequenceClassification class.

37

conceptofmind/t5-pytorch

Implementation of Exploring the Limits of Transfer Learning with a Unified Text-to-Text...

37

Explore Transformer Models

All categories Trending Transformer directory Insights