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Gliner Model Merge Large V1.0
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Named entity recognition model optimized with model fusion technology, F1 score improved by 3.25 points to 0.6601
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Roberta Base Zeroshot V2.0 C
MIT
A zero-shot classification model based on the RoBERTa architecture, designed for text classification tasks without requiring training data, supports both GPU and CPU operation, and is trained using fully business-friendly data.
Text Classification
Transformers English
Transformers EnglishR
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