huggingface/transformers

By admin, 23 三月, 2023

https://github.com/huggingface/transformers

Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio.

These models can be applied on:

  • 📝 Text, for tasks like text classification, information extraction, question answering, summarization, translation, text generation, in over 100 languages.
  • 🖼️ Images, for tasks like image classification, object detection, and segmentation.
  • 🗣️ Audio, for tasks like speech recognition and audio classification.

Transformer models can also perform tasks on several modalities combined, such as table question answering, optical character recognition, information extraction from scanned documents, video classification, and visual question answering.

🤗 Transformers provides APIs to quickly download and use those pretrained models on a given text, fine-tune them on your own datasets and then share them with the community on our model hub. At the same time, each python module defining an architecture is fully standalone and can be modified to enable quick research experiments.

🤗 Transformers is backed by the three most popular deep learning libraries — Jax, PyTorch and TensorFlow — with a seamless integration between them. It's straightforward to train your models with one before loading them for inference with the other.

标签

评论

Restricted HTML

  • 允许的HTML标签:<a href hreflang> <em> <strong> <cite> <blockquote cite> <code> <ul type> <ol start type> <li> <dl> <dt> <dd> <h2 id> <h3 id> <h4 id> <h5 id> <h6 id> <img src>
  • 自动断行和分段。
  • 网页和电子邮件地址自动转换为链接。
验证码
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
请输入"Drupal10"