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--- |
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language: |
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- multilingual |
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- en |
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- sw |
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datasets: wikipedia |
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license: apache-2.0 |
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--- |
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# distilbert-base-en-sw-cased |
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We are sharing smaller versions of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) that handle a custom number of languages. |
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Our versions give exactly the same representations produced by the original model which preserves the original accuracy. |
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For more information please visit our paper: [Load What You Need: Smaller Versions of Multilingual BERT](https://www.aclweb.org/anthology/2020.sustainlp-1.16.pdf). |
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## How to use |
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```python |
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from transformers import AutoTokenizer, AutoModel |
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tokenizer = AutoTokenizer.from_pretrained("Geotrend/distilbert-base-en-sw-cased") |
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model = AutoModel.from_pretrained("Geotrend/distilbert-base-en-sw-cased") |
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``` |
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To generate other smaller versions of multilingual transformers please visit [our Github repo](https://github.com/Geotrend-research/smaller-transformers). |
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### How to cite |
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```bibtex |
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@inproceedings{smallermdistilbert, |
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title={Load What You Need: Smaller Versions of Mutlilingual BERT}, |
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author={Abdaoui, Amine and Pradel, Camille and Sigel, Grégoire}, |
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booktitle={SustaiNLP / EMNLP}, |
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year={2020} |
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} |
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``` |
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## Contact |
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Please contact [email protected] for any question, feedback or request. |
