koelectra-wellness-v1 is a text classification model hosted on Hugging Face. It is made available by Circulus Inc. and is based on the ELECTRA architecture using the Transformers and PyTorch libraries.
The model performs sequence classification on Korean text. It can be loaded through the standard Transformers pipeline for text-classification tasks or instantiated directly with AutoTokenizer and AutoModelForSequenceClassification. The repository provides example code for both high-level pipeline usage and direct model loading with automatic device mapping.
It belongs to the class of fine-tuned ELECTRA models for text classification. Downloads of the model reached 69546 in the most recent month recorded on the repository page. No model card is present and the model has not been deployed by any inference provider on the platform.
The model is distributed as open source through the Hugging Face hub. It is intended for developers and researchers working with Korean natural language processing who require a pre-trained sequence classification model.
Koelectra Wellness sits in PulseGate's Other AI category. It focuses on classifying Korean text according to wellness categories using a domain-specific language model. It is built as an open-source project for developers and researchers. Koelectra Wellness is open source under the Open Source license. It runs on the web and API.
Behind Koelectra Wellness is Circulus Inc. Key capabilities include Text Classification, Hugging Face Integration, and Wellness Domain.
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circulus/koelectra-wellness-v1 verified by the PulseGate indexer
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