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The pipeline function. The pipeline function is the most high-level API of the Transformers library. It regroups together all the steps to go from raw texts to usable predictions. The model used is at the core of a pipeline, but the pipeline also include all the necessary pre-processing (since the model does not expect texts, but numbers) as well as some post-processing to make the output of the model human-readable. Letamp;#39;s look at a first example with the sentiment analysis pipeline. This pipeline performs text classification on a given input, and determines if itamp;#39;s positive or negative. Here, it attributed the positive label on the given text, with a confidence of 95%. You can pass multiple texts to the same pipeline, which will be processed and passed through the model together, as a batch. The output is a list of individual results, in the same order as the input texts. Here we find the same label and score for the first text, and the
