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@@ -27,7 +27,7 @@ pipeline_tag: text-classification
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  ## Key Features
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  - 🎯 **Specialized for Municipal Topics**: Fine-tuned on Portuguese council meeting minutes discussion subjects
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- - 🧠 **Large Transformer Model**: 334M parameters (24 layers, 1024 hidden dim, 16 attention heads)
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  - 📊 **Multi-Label Classification**: Identifies multiple co-occurring topics per subject
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  - ⚡ **Dynamic Thresholds**: Optimized per-label classification thresholds (not fixed 0.5)
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  - 🇵🇹 **Portuguese-Native**: Built on BERTimbau, pre-trained on Brazilian Portuguese corpus
 
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  ## Key Features
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  - 🎯 **Specialized for Municipal Topics**: Fine-tuned on Portuguese council meeting minutes discussion subjects
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+ - 🧠 **Large Transformer Model**: 335M parameters (24 layers, 1024 hidden dim, 16 attention heads)
31
  - 📊 **Multi-Label Classification**: Identifies multiple co-occurring topics per subject
32
  - ⚡ **Dynamic Thresholds**: Optimized per-label classification thresholds (not fixed 0.5)
33
  - 🇵🇹 **Portuguese-Native**: Built on BERTimbau, pre-trained on Brazilian Portuguese corpus