Transformers
Safetensors
Portuguese
t5
text2text-generation
g2p
ipa
byt5
portuguese-brazilian
seq2seq
dialect
text-generation-inference
Instructions to use thiagomonteles/BIPA_g2p_Multidialect_Byt5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thiagomonteles/BIPA_g2p_Multidialect_Byt5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("thiagomonteles/BIPA_g2p_Multidialect_Byt5") model = AutoModelForSeq2SeqLM.from_pretrained("thiagomonteles/BIPA_g2p_Multidialect_Byt5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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- Transcriptions follow BIPA/Wiktionary-specific conventions and may differ from other phonetic standards.
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- **Minority dialects**: `[regiao-nordeste]` and `[regiao-centro-oeste]` are underrepresented in the BIPA dataset compared to `[brasil]`, `[são-paulo]`, and `[rio-de-janeiro]`. Expect lower transcription accuracy for these varieties.
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## How to Cite
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- Model: `thiagomonteles/BIPA_g2p_Multidialect_Byt5`
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- Dataset: `thiagomonteles/BIPA`
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- Transcriptions follow BIPA/Wiktionary-specific conventions and may differ from other phonetic standards.
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- **Minority dialects**: `[regiao-nordeste]` and `[regiao-centro-oeste]` are underrepresented in the BIPA dataset compared to `[brasil]`, `[são-paulo]`, and `[rio-de-janeiro]`. Expect lower transcription accuracy for these varieties.
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## How to Cite
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Thiago Monteles de Sousa, Lucas Rafael Gris, and Nádia Félix Felipe da Silva. 2026. BIPA: Brazilian Portuguese Phonetic Dataset with Dialectal Variations in IPA Standard. In Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 1, pages 478–487, Salvador, Brazil. Association for Computational Linguistics.
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- Model: `thiagomonteles/BIPA_g2p_Multidialect_Byt5`
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- Dataset: `thiagomonteles/BIPA`
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