Recent advancements in embedding models have focused on transforming general-purpose text representations for diverse applications like semantic similarity, clustering, and classification. Traditional ...
Abstract: Massively multilingual sentence representation models, e.g., LASER, SBERT-distill, and LaBSE, help significantly improve cross-lingual downstream tasks. However, the use of a large amount of ...
I am trying to train a model with MultipleNegativesRankingLoss on a bilingual dataset with 150k sentences. The training works well if I use LaBSE as a base model and it reaches very high precision ...
I want to use the Class "ParallelSentencesDataset" to load my very big parallel data to fine tune the pre-trained model "LaBSE". But when I used it , it seems that this Class "ParallelSentencesDataset ...
Manni Maree Ministerotaa Itoophiyaa guutummaa biyyattiitti hojiirra kan oolu labsii yeroo muddamaa akka labsamu murteesse. Manni marichaa wal gahii ariifachiisaaa har'a gaggeesseen labsiin yeroo ...
Manni Maree Bakka Bu'oota Uummata Itoophiyaa walgahii har'a taa'een ABUT/TPLF fi 'Shaneen' shororkeessitoota jechuun labse. Manni marichaa walgahii idilee har'aatiin yaada murtee Manni Maree ...