🤗 Transformers is an opinionated library built for:
NLP researchers and educators seeking to use/study/extend large-scale transformers models
hands-on practitioners who want to fine-tune those models and/or serve them in production
engineers who just want to download a pretrained model and use it to solve a given NLP task.
The library was designed with two strong goals in mind:
Be as easy and fast to use as possible:
We strongly limited the number of user-facing abstractions to learn, in fact, there are almost no abstractions,
    just three standard classes required to use each model: configuration,
    models and tokenizer.
All of these classes can be initialized in a simple and unified way from pretrained instances by using a common
    from_pretrained() instantiation method which will take care of downloading (if needed), caching and
