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<!-- Based on https://huggingface.co/t5-small, model generates SQL from text given table list with "CREATE TABLE" statements.
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This is a very light weigh model and could be used in multiple analytical applications. -->
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Based on [bert-base-uncased](https://huggingface.co/bert-base-uncased) . This model takes in news summary/news headlines/news article and classifies into one of 40 categories (listed below) . Dataset used to traing this model is from [Kaggle](www.kaggle.com) called [News Category Dataset](https://www.kaggle.com/datasets/rmisra/news-category-dataset) porvided by [ rishabhmisra.github.io/publications]( rishabhmisra.github.io/publications).
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Contact us for more info: support@cloudsummary.com.
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### Below are the output labels:
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- arts = 0, arts & culture =1, black voices = 2, business = 3, college = 4, comedy = 5, crime = 6, culture & arts = 7, education = 8, entertainment = 9,environment = 10
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- **Developed by:**
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- **Model type:** Language model
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- **Language(s) (NLP):** English
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- **License:** apache-2.0
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<!-- Based on https://huggingface.co/t5-small, model generates SQL from text given table list with "CREATE TABLE" statements.
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This is a very light weigh model and could be used in multiple analytical applications. -->
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Based on [bert-base-uncased](https://huggingface.co/bert-base-uncased) . This model takes in news summary/news headlines/news article and classifies into one of 40 categories (listed below) . Dataset used to traing this model is from [Kaggle](www.kaggle.com) called [News Category Dataset](https://www.kaggle.com/datasets/rmisra/news-category-dataset) porvided by [ rishabhmisra.github.io/publications]( rishabhmisra.github.io/publications) (Please cite this datatset when using this model).
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Contact us for more info: support@cloudsummary.com.
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### Below are the output labels:
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- arts = 0, arts & culture =1, black voices = 2, business = 3, college = 4, comedy = 5, crime = 6, culture & arts = 7, education = 8, entertainment = 9,environment = 10
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- **Developed by:** CloudSummary (support@cloudsummary.com)
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- **Model type:** Language model
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- **Language(s) (NLP):** English
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- **License:** apache-2.0
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