Text Classification
Transformers
Safetensors
Portuguese
bert
text-quality
portuguese
text-embeddings-inference
Instructions to use TucanoBR/BERTimbau-large-text-filter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TucanoBR/BERTimbau-large-text-filter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TucanoBR/BERTimbau-large-text-filter")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TucanoBR/BERTimbau-large-text-filter") model = AutoModelForSequenceClassification.from_pretrained("TucanoBR/BERTimbau-large-text-filter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
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@@ -64,6 +64,17 @@ result = classifier("Os tucanos são aves que correspondem à família Ramphasti
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2411.07854},
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}
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```
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## Aknowlegments
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2411.07854},
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}
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@article{correa2025tucanoadvancingneuraltext,
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title={{Tucano: Advancing Neural Text Generation for Portuguese}},
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author={Corr{\^e}a, Nicholas Kluge and Sen, Aniket and Falk, Sophia and Fatimah, Shiza},
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journal={Patterns},
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publisher={Elsevier},
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year={2025},
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doi={10.1016/j.patter.2025.101325},
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url={https://doi.org/10.1016/j.patter.2025.101325},
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issn={2666-3899}
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}
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```
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## Aknowlegments
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