Token Classification
GLiNER
PyTorch
ONNX
NER
GLiNER
information extraction
encoder
entity recognition
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@@ -46,7 +46,7 @@ The initial GLiNER models were trained mainly on English data. Available multili
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  Key Advantages Over Previous GLiNER Models:
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  * Enhanced performance and generalization capabilities
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- * Supports , `Swedish`, `Norwegian`, `Czech`, `Polish`, `Lithuanian`, `Estonian`, `Latvian`, `Spanish`, `Finnish`, `English`, `German`, `French`, `Romanian`, `Italian`, `Portuguese`, `Dutch`, `Ukrainian`, `Hindi, `Chinese`, `Arabic` languages.
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  * 3 model size available.
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  ### Installation & Usage
 
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  Key Advantages Over Previous GLiNER Models:
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  * Enhanced performance and generalization capabilities
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+ * Supports , `Swedish`, `Norwegian`, `Czech`, `Polish`, `Lithuanian`, `Estonian`, `Latvian`, `Spanish`, `Finnish`, `English`, `German`, `French`, `Romanian`, `Italian`, `Portuguese`, `Dutch`, `Ukrainian`, `Hindi`, `Chinese`, `Arabic` languages.
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  * 3 model size available.
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  ### Installation & Usage