metadata
license: mit
base_model: neuralmind/bert-large-portuguese-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: LVI_bert-large-portuguese-cased
results: []
PtVId
This model is a fine-tuned version of neuralmind/bert-large-portuguese-cased on the PtBrVId dataset.
Run it
import transformers
model_name = "liaad/PtVId"
pipe = transformers.pipeline(model=model_name)
text = "Olá, como você está?"
print(pipe(text))
Citation
If you use this model in your work, please cite the following paper:
@article{Sousa2025,
author = {Hugo Sousa and Rúben Almeida and Purificação Silvano and Inês Cantante and Ricardo Campos and Alipio Jorge},
doi = {10.1609/aaai.v39i24.34705},
issn = {2374-3468},
issue = {24},
journal = {Proceedings of the AAAI Conference on Artificial Intelligence},
month = {4},
pages = {25192-25200},
title = {Enhancing Portuguese Variety Identification with Cross-Domain Approaches},
volume = {39},
year = {2025}
}