Token Classification
GLiNER
PyTorch
ONNX
NER
GLiNER
information extraction
encoder
entity recognition
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1 Parent(s): e3a0a07

Update README.md

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  1. README.md +7 -2
README.md CHANGED
@@ -19,6 +19,11 @@ language:
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  - it
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  - pt
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  - nl
 
 
 
 
 
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  library_name: gliner
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  datasets:
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  - knowledgator/gliner-multilingual-synthetic
@@ -41,7 +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`, `Chinese`, `Arabic` languages.
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  * 3 model size available.
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  ### Installation & Usage
@@ -585,4 +590,4 @@ Below you can see the table with benchmarking results (F1 score) on various malt
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  ![alt text](plot.png)
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  ### Join Our Discord
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- Connect with our community on Discord for news, support, and discussion about our models. Join [Discord](https://discord.gg/dkyeAgs9DG).
 
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  - it
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  - pt
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  - nl
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+ - ar
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+ - zh
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+ - hi
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+ - uk
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+ - sl
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  library_name: gliner
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  datasets:
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  - knowledgator/gliner-multilingual-synthetic
 
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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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  ![alt text](plot.png)
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  ### Join Our Discord
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+ Connect with our community on Discord for news, support, and discussion about our models. Join [Discord](https://discord.gg/dkyeAgs9DG).