Text Classification
Transformers
Joblib
Portuguese
streamlit
multi-label-classification
gradient-boosting
active-learning
bertimbau
municipal-documents
meeting-minutes
Instructions to use anonymous12321/Council_Topics_Classifier_PT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anonymous12321/Council_Topics_Classifier_PT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anonymous12321/Council_Topics_Classifier_PT")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("anonymous12321/Council_Topics_Classifier_PT", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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## Model Description
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🚀 **Try out the model:** [Hugging Face Space Demo](https://huggingface.co/spaces/anonymous12321/GB_CouncilTopics-PT)
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## Model Description
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**Council Topics Classifier** is an ensemble machine learning system specialized in **multi-label topic classification** for Portuguese municipal council meeting minutes subjects. The model combines Gradient Boosting with Active Learning and BERTimbau embeddings to identify multiple simultaneous topics within municipal discussion subjects, making it particularly effective for categorizing complex governmental content.
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🚀 **Try out the model:** [Hugging Face Space Demo](https://huggingface.co/spaces/anonymous12321/GB_CouncilTopics-PT)
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