distiluse-base-multilingual-cased-v2: Multilingual knowledge distilled version of multilingual Universal Sentence Encoder. This version supports 50+ languages, but performs a bit weaker than the v1 model.
paraphrase-multilingual-MiniLM-L12-v2 - Multilingual version of paraphrase-MiniLM-L12-v2, trained on parallel data for 50+ languages. 
paraphrase-multilingual-mpnet-base-v2 - Multilingual version of paraphrase-mpnet-base-v2, trained on parallel data for 50+ languages. 
Bitext Mining 
Bitext mining describes the process of finding translated sentence pairs in two languages. If this is your use-case, the following model gives the best performance:
- LaBSE - LaBSE Model. Supports 109 languages. Works well for finding translation pairs in multiple languages. As detailed  here, LaBSE works less well for assessing the similarity of sentence pairs that are not translations of each other.
