KoBERT and KoBERT-Transformers

The monologg version is a community-maintained port that adapts the original SKTBrain KoBERT model to work with Hugging Face's Transformers library, making it a complement rather than a replacement.

KoBERT
53
Established
KoBERT-Transformers
47
Emerging
Maintenance 2/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 21/25
Stars: 1,407
Forks: 380
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 212
Forks: 45
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
Stale 6m No Package No Dependents
Archived Stale 6m No Package No Dependents

About KoBERT

SKTBrain/KoBERT

Korean BERT pre-trained cased (KoBERT)

KoBERT is a tool for anyone working with the Korean language who needs to understand meaning or categorize text. It takes raw Korean text as input and helps identify sentiment, recognize named entities like organizations or product names, or compare sentence meanings. This is ideal for natural language processing specialists, data scientists, or researchers focused on Korean text analysis.

Korean-language-processing text-analytics sentiment-analysis named-entity-recognition semantic-search

About KoBERT-Transformers

monologg/KoBERT-Transformers

KoBERT on 🤗 Huggingface Transformers 🤗 (with Bug Fixed)

Related comparisons

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