<a name="introduction"></a> BERTabaporu: a genre-specific pre-trained model of Portuguese-speaking social media

Introduction

BERTabaporu is a Brazilian Portuguese BERT model in the Twitter domain. The model has been built from a collection of 238 million tweets written by over 100 thousand unique Twitter users, and conveying over 2.9 billion tokens in total.

Available models

Usage

from transformers import AutoTokenizer  # Or BertTokenizer
from transformers import AutoModelForPreTraining  # Or BertForPreTraining for loading pretraining heads
from transformers import AutoModel  # or BertModel, for BERT without pretraining heads
model = AutoModelForPreTraining.from_pretrained('pablocosta/bertabaporu-base-uncased')
tokenizer = AutoTokenizer.from_pretrained('pablocosta/bertabaporu-base-uncased')

Cite us

@inproceedings{bertabaporu, author={Pablo Botton da Costa and Matheus Camasmie Pavan and Wesley Ramos dos Santos and Samuel Caetano da Silva and Ivandr'e Paraboni}, title={{BERTabaporu: assessing a genre-specific language model for Portuguese NLP}}, booktitle={Recents Advances in Natural Language Processing ({RANLP-2023})}, year={2023}, address={Varna, Bulgaria} }