monologg/HanBert-Transformers
HanBert on π€ Huggingface Transformers π€
This project helps developers integrate the HanBert language model for Korean natural language processing into their PyTorch applications. It converts the original TensorFlow HanBert model into a more compact PyTorch format and provides a custom tokenizer. Developers working with Korean text analysis in PyTorch will use this to build applications like sentiment analysis or named entity recognition.
No commits in the last 6 months.
Use this if you are a developer building PyTorch applications that require sophisticated understanding and processing of Korean text.
Not ideal if you are not a developer or primarily work with TensorFlow, as this project focuses on PyTorch integration and optimization.
Stars
87
Forks
18
Language
Python
License
—
Category
Last pushed
Nov 05, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/monologg/HanBert-Transformers"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
SKTBrain/KoBERT
Korean BERT pre-trained cased (KoBERT)
monologg/KoELECTRA
Pretrained ELECTRA Model for Korean
monologg/KoBERT-Transformers
KoBERT on π€ Huggingface Transformers π€ (with Bug Fixed)
VinAIResearch/PhoBERT
PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)
KB-AI-Research/KB-ALBERT
KBκ΅λ―Όμνμμ μ 곡νλ κ²½μ /κΈμ΅ λλ©μΈμ νΉνλ νκ΅μ΄ ALBERT λͺ¨λΈ