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valurank/distilroberta-news-small
distilroberta-news-small is a text classification model from valurank. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as other.
This model is based on distilroberta-base pretrained weights, with a classification head fine-tuned to classify news articles into 3 categories (bad, medium, good).
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From the Hugging Face model README
This model is based on distilroberta-base pretrained weights, with a classification head fine-tuned to classify news articles into 3 categories (bad, medium, good).
The dataset used to fine-tune the model is news-small, the 300 article news dataset manually annotated by Alex.
Similar to its base model, this model accepts inputs with a maximum length of 512 tokens.