bert-base-multilingual-cased

BERT is a transformers model pretrained on a large corpus of multilingual data in a self-supervised fashion . This model is case sensitive: it makes a difference between English and English . It was introduced in this paper and first released in this repository . It's mostly intended to be fine-tuned on tasks that use the whole sentence (potentially masked)to make decisions, such as sequence classification, token classification or question answering . For tasks such as text-generation you should look at model like GPT2. For example, this model is called Bert-base-multilingual-cased Bert-Torch:from transformers import pipeline. (Pretrained model,