Text Classification
Transformers
Safetensors
xlm-roberta
toxic
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@@ -23,6 +23,8 @@ metrics:
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  base_model:
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  - cis-lmu/glot500-base
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  pipeline_tag: text-classification
 
 
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  ---
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  ## Multilingual Toxicity Classifier for 15 Languages (2025)
@@ -33,21 +35,21 @@ Now, the models covers 15 languages from various language families:
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  | Language | Code | F1 Score |
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  |-----------|------|---------|
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- | English | en | 0.9225 |
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- | Russian | ru | 0.9525 |
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- | Ukrainian | uk | 0.96 |
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- | German | de | 0.7325 |
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- | Spanish | es | 0.7125 |
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- | Arabic | ar | 0.6625 |
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- | Amharic | am | 0.5575 |
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- | Hindi | hi | 0.9725 |
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- | Chinese | zh | 0.9175 |
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- | Italian | it | 0.5864 |
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- | French | fr | 0.9235 |
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- | Hinglish | hin | 0.61 |
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- | Hebrew | he | 0.8775 |
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- | Japanese | ja | 0.8773 |
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- | Tatar | tt | 0.5744 |
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  ## How to use
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  base_model:
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  - cis-lmu/glot500-base
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  pipeline_tag: text-classification
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+ tags:
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+ - toxic
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  ---
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  ## Multilingual Toxicity Classifier for 15 Languages (2025)
 
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  | Language | Code | F1 Score |
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  |-----------|------|---------|
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+ | English | en | 0.9071 |
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+ | Russian | ru | 0.9022 |
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+ | Ukrainian | uk | 0.9075 |
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+ | German | de | 0.6528 |
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+ | Spanish | es | 0.7430 |
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+ | Arabic | ar | 0.6207 |
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+ | Amharic | am | 0.6676 |
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+ | Hindi | hi | 0.7171 |
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+ | Chinese | zh | 0.6483 |
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+ | Italian | it | 0.5975 |
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+ | French | fr | 0.9125 |
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+ | Hinglish | hin | 0.7051 |
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+ | Hebrew | he | 0.8911 |
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+ | Japanese | ja | 0.9058 |
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+ | Tatar | tt | 0.5834 |
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  ## How to use
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