transformers

Why we included this project

Most of the open model ecosystem builds on this Python library, so anyone working with pretrained models will likely run into it. It gives you one consistent API for loading and running thousands of checkpoints, whether the model handles text, images, audio, or several modalities at once, and swapping one model for another usually means changing a name rather than rewriting your code. The high-level pipeline classes handle preprocessing and decoding for everyday jobs such as text generation, speech recognition, and image classification, while the lower-level classes leave room for fine-tuning and custom training. Because so many training frameworks, inference engines, and adjacent tools consume the model definitions this project provides, the time you invest in learning it carries over well beyond the library itself. For teams that want to prototype quickly or standardize how they run open models, it is usually the first thing they install.