Albertina PT-* is a foundation, large language model for the Portuguese language. It is an encoder of the BERT family, based on the neural architecture Transformer and developed over the DeBERTa model, and with most competitive performance for this language. It has different versions that were...
Albertina PT-* is a foundation, large language model for the Portuguese language. It is an encoder of the BERT family, based on the neural architecture Transformer and developed over the DeBERTa model, and with most competitive performance for this language. It has different versions that were...
Albertina PT-* is a foundation, large language model for the Portuguese language. It is an encoder of the BERT family, based on the neural architecture Transformer and developed over the DeBERTa model, with most competitive performance for this language. It has different versions that were tra...
Albertina PT-PT base is a foundation, large language model for European Portuguese from Portugal. It is an encoder of the BERT family, based on the neural architecture Transformer and developed over the DeBERTa model, with most competitive performance for this language. It is distributed free ...
This is a data set of Portuguese tweets labeled with the emotion conveyed in the tweet. It was gathered using a methodology similar to the one used for building the Affect in Tweets data set used in the SemEval-2018 Task 1. The data set contains 11219 tweets, each labeled with an emotion (anger,...
This resource contains a pre-trained BERT language model trained on the Portuguese language. A BERT-Base cased variant was trained on the BrWaC (Brazilian Web as Corpus), a large Portuguese corpus, for 1,000,000 steps, using whole-word mask. The model is available as artifacts for TensorFlow and...
The Ontology for the area of Nanoscience and Nanotechnology (Ontologia para a área de Nanociência e Nanotecnologia) is constituted by 511 terms of this field of knowledge. It was extracted from a corpus collected from the Web, with a total of 2.570.792 words
Albertina PT-BR base is a foundation, large language model for American Portuguese from Brazil. It is an encoder of the BERT family, based on the neural architecture Transformer and developed over the DeBERTa model, with most competitive performance for this language. It is distributed free of...
BDCamões Corpus is a collection of literary documents written in Portuguese, in plain text .txt format, with close to 4 million words from over 200 complete documents from 83 authors in 14 genres, covering a time span from the 15th to the 21st century, and adhering to different orthographic conve...
This resource contains a pre-trained BERT language model trained on the Portuguese language. A BERT-Large cased variant was trained on the BrWaC (Brazilian Web as Corpus), a large Portuguese corpus, for 1,000,000 steps, using whole-word mask. The model is available as artifacts for TensorFlow an...