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--- |
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license: mit |
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base_model: neuralmind/bert-large-portuguese-cased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: LVI_bert-large-portuguese-cased |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# PtVId |
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This model is a fine-tuned version of [neuralmind/bert-large-portuguese-cased](https://huggingface.co/neuralmind/bert-large-portuguese-cased) on the [PtBrVId](https://huggingface.co/datasets/liaad/PtBrVId) dataset. |
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## Run it |
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```sh |
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import transformers |
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model_name = "liaad/PtVId" |
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pipe = transformers.pipeline(model=model_name) |
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text = "Olá, como você está?" |
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print(pipe(text)) |
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``` |
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## Citation |
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If you use this model in your work, please cite the following paper: |
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``` |
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@article{Sousa2025, |
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author = {Hugo Sousa and Rúben Almeida and Purificação Silvano and Inês Cantante and Ricardo Campos and Alipio Jorge}, |
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doi = {10.1609/aaai.v39i24.34705}, |
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issn = {2374-3468}, |
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issue = {24}, |
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journal = {Proceedings of the AAAI Conference on Artificial Intelligence}, |
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month = {4}, |
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pages = {25192-25200}, |
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title = {Enhancing Portuguese Variety Identification with Cross-Domain Approaches}, |
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volume = {39}, |
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year = {2025} |
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} |
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``` |
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