albert-kor-base is an ALBERT model pretrained on a 70GB Korean text corpus using 42,000 lower-cased subword tokens. It supports fill-mask tasks and can be used with the Hugging Face Transformers library for various Korean downstream NLP applications such as text classification, named entity recognition, and question answering.
Albert Kor Base sits in PulseGate's Other models category. It focuses on providing a high-quality pretrained ALBERT model specifically for Korean natural language processing. Albert Kor Base is an open-source project aimed at Korean NLP developers and researchers. The project is open source (Apache-2.0). Albert Kor Base is available on the web and API.
It is developed by kykim (South Korea), and it first shipped in 2020. Development happens publicly on GitHub with 394 stars. Key capabilities include fill-mask, korean language support, and ALBERT architecture.
Summary written by a language model from the project’s public pages.
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