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  # DistilBERT base model (uncased)
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- This model is a distilled version of the [BERT base model](https://huggingface.co/bert-base-uncased). It was
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- introduced in [this paper](https://arxiv.org/abs/1910.01108). The code for the distillation process can be found
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- [here](https://github.com/huggingface/transformers/tree/main/examples/research_projects/distillation). This model is uncased: it does
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- not make a difference between english and English.
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  ## Model description
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  # DistilBERT base model (uncased)
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+ This [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) text classification model trained on Urdu sentiment [data-set](https://huggingface.co/datasets/hassan4830/urdu-binary-classification-data) performs binary sentiment classification on any given Urdu sentence. The model has been fine-tuned for better results in manageable time frames.
 
 
 
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  ## Model description
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