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# text2tags-it
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The model has been trained on a collection of 28k news articles with tags. Its purpose is to create tags suitable for the given article.
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### Usage
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# text2tags-it
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The model has been trained on a collection of 28k news articles with tags. Its purpose is to create tags suitable for the given article. We can use this model also for information-retrieval purposes (GenQ), fine-tuning sentence-transformers for asymmetric semantic search.
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### Usage
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