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README.md
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Karnold-Walmer is intended to be used for keyword extraction and text classification in various domains, such as scientific literature, biomedical research articles, and more. By analyzing the content of an input text, the model generates a list of relevant keywords that describe the topic of the article.
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It is important to note, however, that Karnold-Walmer is **specifically trained to decode text similar to the "keywords" column and is not designed for summarization tasks.** For accurate keyword extraction and text classification, the model should be used within the limits of its training data and intended purpose.
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## Training and Evaluation Data
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Karnold-Walmer is intended to be used for keyword extraction and text classification in various domains, such as scientific literature, biomedical research articles, and more. By analyzing the content of an input text, the model generates a list of relevant keywords that describe the topic of the article.
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It is important to note, however, that Karnold-Walmer is **specifically trained to decode text similar to the "keywords" column and is not designed for summarization tasks.** For accurate keyword extraction and text classification, the model should be used within the limits of its training data and intended purpose (see what happens when you try the out-of-domain API examples).
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## Training and Evaluation Data
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