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gec-tr-seq-tagger
GGLab/gec-tr-seq-tagger
gec-tr-seq-tagger is a token classification model from GGLab. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
Official implementation of sequence-tagger model for Turkish Grammatical Error Correction task.
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Repo size
880 MB
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Feb 16, 2024
- Updated
- Feb 16, 2024
- SHA
- 96fe05e7
Datasets
Model card
From the Hugging Face model README
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- tr
- Created
- Feb 16, 2024
- Updated
- Feb 16, 2024