Fill-Mask
Transformers
PyTorch
Bengali
bert
Bert base Bangla
Bengali Bert
Bengali lm
Bangla Base Bert
Bangla Bert language model
Bangla Bert
Instructions to use Kowsher/bangla-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kowsher/bangla-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Kowsher/bangla-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Kowsher/bangla-bert") model = AutoModelForMaskedLM.from_pretrained("Kowsher/bangla-bert") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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**Cite this work**
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Kowsher,
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## Author
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[Kowsher](http://kowsher.org/)
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```
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**Cite this work**
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M. Kowsher, A. A. Sami, N. J. Prottasha, M. S. Arefin, P. K. Dhar and T. Koshiba, "Bangla-BERT: Transformer-based Efficient Model for Transfer Learning and Language Understanding," in IEEE Access, 2022, doi: 10.1109/ACCESS.2022.3197662.
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## Author
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[Kowsher](http://kowsher.org/)
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