Text Classification
Transformers
Joblib
Safetensors
Portuguese
bert
multi-label-classification
bertimbau
portuguese
municipal-documents
meeting-minutes
fine-tuned
text-embeddings-inference
Instructions to use inesctec/CitiLink-BERTimbau-large-Topic-Classification-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inesctec/CitiLink-BERTimbau-large-Topic-Classification-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="inesctec/CitiLink-BERTimbau-large-Topic-Classification-pt")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("inesctec/CitiLink-BERTimbau-large-Topic-Classification-pt") model = AutoModelForSequenceClassification.from_pretrained("inesctec/CitiLink-BERTimbau-large-Topic-Classification-pt") - Notebooks
- Google Colab
- Kaggle
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