KoELECTRA Small V3 Modu Ner
KoELECTRA-small-v3-modu-ner is a token classification model hosted on Hugging Face. It is a small Korean ELECTRA variant that has been fine-tuned for named entity recognition tasks on the MODU dataset.
The model accepts Korean text and assigns labels to individual tokens to identify named entities. It is distributed in PyTorch format along with Safetensors weights and includes TensorBoard training metrics. Users load it through the Transformers library either via a high-level pipeline for token-classification or by directly instantiating AutoTokenizer and AutoModelForTokenClassification.
The repository provides example code for both usage patterns and lists inference options that include notebooks on Google Colab and Kaggle. It is made available for direct download and can be deployed to compatible inference providers. The model card outlines intended uses and limitations along with training details, though specific performance numbers are not shown on the main page.
No pricing information appears because the model is offered as an open artifact on the Hugging Face platform. The page indicates it was generated from the Trainer API and carries standard repository features such as community discussion and versioned files.
Open SourceWebAPI
Overview
3 featuresKoELECTRA Small V3 Modu Ner sits in PulseGate's Other AI category. It focuses on identifying and classifying named entities in Korean text for NLP applications. It is built as an open-source project for developers. The project is open source (Open Source). It runs on the web and API.
Leo97 builds and maintains KoELECTRA Small V3 Modu Ner, and it first shipped in 2022. Key capabilities include Named Entity Recognition, Korean Language Support, and Token Classification. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
- Named Entity Recognition
- Korean Language Support
- Token Classification
Tags
korean-nerelectra-modeltoken-classification
AI capabilities
Text
Inference: LocalWeights: Open
Built with & integrations
Hosting
AWS
Connectors
API
Runs on
BrowserAPI-only
Detected from
- AWS
- x-amz-cf-id header · x-amz-cf-pop header · via header
Trust & compliance
License
Open Source
Verified signals
Indexing history
1What PulseGate has recorded for this listing
- Indexed24 Jul · 08:12 UTCLeo97/KoELECTRA-small-v3-modu-ner verified against its public sourceSource: PulseGate · Open
Frequently asked questions about KoELECTRA Small V3 Modu Ner
- What does KoELECTRA Small V3 Modu Ner do?
- KoELECTRA Small V3 Modu Ner focuses on identifying and classifying named entities in Korean text for NLP applications. It is catalogued under Other AI on PulseGate.
- Who should use KoELECTRA Small V3 Modu Ner?
- KoELECTRA Small V3 Modu Ner is an open-source project built for developers.
- Is KoELECTRA Small V3 Modu Ner free?
- Yes — KoELECTRA Small V3 Modu Ner is open source under the Open Source license and free to use.
- What platforms does KoELECTRA Small V3 Modu Ner run on?
- KoELECTRA Small V3 Modu Ner runs on the web and API.
- Is KoELECTRA Small V3 Modu Ner still maintained?
- Unverified. KoELECTRA Small V3 Modu Ner has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
- What projects are similar to KoELECTRA Small V3 Modu Ner?
- Similar projects tracked by PulseGate include Koelectra Small V3 Nsmc, Koelectra Emotion, and Koelectra Act.Koelectra Small V3 NsmcKoelectra EmotionKoelectra Act
- Who makes KoELECTRA Small V3 Modu Ner?
- KoELECTRA Small V3 Modu Ner is developed by Leo97.
- How long has KoELECTRA Small V3 Modu Ner been around?
- KoELECTRA Small V3 Modu Ner first shipped in 2022.
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