SEBIS/legal_t5_small_trans_cs_sv

The legal_t5_small_trans_cs_sv 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 Cszech to Swedish in PyTorch . It was first released in this repository by Ahmed Elnaggar/@Elnagar_AI . It has been trained on three parallel corpus from jrc-acqu,