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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 and text generation; on images, for tasks like image classification, object detection and segmentation; and on audio, for tasks like speech recognition and audio classification. The library is designed with two strong goals in mind: be as easy and fast to use as possible, and provide state-of-the-art models with a unified API.
| Package | Summary | Distribution | Download |
| python314-transformers-5.13.1-1.1.noarch.html | State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow | OpenSuSE Tumbleweed for noarch | python314-transformers-5.13.1-1.1.noarch.rpm |
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