SEBIS/legal_t5_small_trans_sv_en

The legal_t5_small_trans_sv_en model is based on the t5-small model and was trained on a large corpus of parallel text . It scales the baseline model of t5 down by using dmodel = 512, dff = 2,048, 8-headed attention, and only 6 layers each in the encoder and decoder . This variant has about 60 million parameters . The model could be used for translation of legal texts from Swedish to English in PyTorch . It was first released in this repository in September 2013 . It has a total of 220M parameters and has been trained on JRC-ACQUIS, EUROPARL, and,