Categorize, assign tags, or analyze the sentiment of any text, up to 150k tokens. Comprehend-it is a next-generation text classification model designed for zero-shot, multi-label categorization with output scoring.
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Identify a wide range of entities like company names and product features in any text with our NER model. Zero-shot learning, high accuracy, and cost-efficient processing up to 150k tokens.
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LiqFit(Language Inference Quick Fit) - our new framework for few-shot learning of cross-encoder models. It's easy to use and incredibly effective for tasks like text classification, NER, and Q&A, achieving competitive results with just 8 examples per label!