In this video, I'll show you how you can use HuggingFace's recently open sourced model for Zero-Shot Classification or Zero-shot learning for multi-class classification.

Zero-Shot Classification refers to the class of machine learning problems where we want our models to predict output for classes which it did not encounter during training time.

Zero-shot learning is a problem setup in machine learning, where at test time, a learner observes samples from classes that were not observed during training, and needs to predict the category they belong to. This problem is widely studied in computer vision, natural language processing and machine perception.

Link to the UI Demo : [ Ссылка ]

Link to the notebook : [ Ссылка ]

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