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# UTC-DeBERTa-base - universal token classifier
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🚀 Meet the second version of our prompt-tuned universal token classification model 🚀
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This line of models can perform various information extraction tasks by analysing input prompts and recognizing parts of texts that satisfy prompts. In comparison with the first version, the second one
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To use a model, just specify a prompt, for example : ***“Identify all positive aspects of the product mentioned by John: “*** and put your target text.
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# UTC-DeBERTa-base - universal token classifier
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🚀 Meet the second version of our prompt-tuned universal token classification model 🚀
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This line of models can perform various information extraction tasks by analysing input prompts and recognizing parts of texts that satisfy prompts. In comparison with the first version, the second one is more general and can recognised as entities, whole sentences, and even paragraphs.
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To use a model, just specify a prompt, for example : ***“Identify all positive aspects of the product mentioned by John: “*** and put your target text.
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