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md-nishat-008/Mixed-Distil-BERT
Mixed-Distil-BERT is a fill-mask model from md-nishat-008. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as apache-2.0.
The model is pretrained on the OSCAR dataset for Bangla, English and Hindi. And further pre-trained on 560k code-mixed data (Bangla-English-Hindi). The base model is Distil-BERT and the intended use for this model is…
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From the Hugging Face model README
The model is pretrained on the OSCAR dataset for Bangla, English and Hindi. And further pre-trained on 560k code-mixed data (Bangla-English-Hindi). The base model is Distil-BERT and the intended use for this model is for the datasets that contain a Code-mixing of these languages.
To cite:
@article{raihan2023mixed, title={Mixed-Distil-BERT: Code-mixed Language Modeling for Bangla, English, and Hindi}, author={Raihan, Md Nishat and Goswami, Dhiman and Mahmud, Antara}, journal={arXiv preprint arXiv:2309.10272}, year={2023} }