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we provide thepipelineAPI. Pipelines group together a pretrained model with the preprocessing that was used during that model's training. Here is how to quickly use a pipeline to classify positive versus negative texts:
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Here is the original image on the left, with the predictions displayed on the right:You can learn more about the tasks supported by the pipeline API in this tutorial.In addition to pipeline, to download and use any of the pretrained models on your given task, all it takes is three lines...
The training API is not intended to work on any model but is optimized to work with the models provided by the library. For generic machine learning loops, you should use another library (possibly, Accelerate). While we strive to present as many use cases as possible, the scripts in our ...