# Flax framework training

Pre-trained speech recognition model based on Common Voice Spanish data, trained on TPU using the Flax framework

A Wav2vec2 model pre-trained from scratch on the Common Voice Dhivehi dataset using the Flax framework

BERTIN is a series of Spanish language models based on BERT. This model follows the RoBERTa-large architecture, trained from scratch using the Flax framework, with data sourced from the Spanish portion of the mC4 corpus.