huggingface.co/transformers Library

A huggingface.co/transformers Library is a Python Library that is an HuggingFace.

• See: huggingface.co/transformers.EncoderDecoderModel, Extractive Question Answering, Text Sequence Classification.

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References

2021

• https://huggingface.co/transformers/
  • QUOTE: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
    • 🤗 Transformers (formerly known as pytorch-transformers and pytorch-pretrained-bert) provides general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet…) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in 100+ languages and deep interoperability between TensorFlow 2.0 and PyTorch.

2021

• https://github.com/huggingface/transformers
  • QUOTE:
    • 🤗 Transformers provides thousands of pretrained models to perform tasks on texts such as classification, information extraction, question answering, summarization, translation, text generation, etc in 100+ languages. Its aim is to make cutting-edge NLP easier to use for everyone.
    • 🤗 Transformers provides APIs to quickly download and use those pretrained models on a given text, fine-tune them on your own datasets then share them with the community on our model hub. At the same time, each python module defining an architecture can be used as a standalone and modified to enable quick research experiments.
    • 🤗 Transformers is backed by the two most popular deep learning libraries, PyTorch and TensorFlow, with a seamless integration between them, allowing you to train your models with one then load it for inference with the other.

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