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Migrate model card from transformers-repo

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Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755
Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/Geotrend/bert-base-en-el-cased/README.md

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+ ---
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+ language: multilingual
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+
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+ datasets: wikipedia
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+
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+ license: apache-2.0
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+
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+ widget:
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+ - text: "Google generated 46 billion [MASK] in revenue."
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+ - text: "Paris is the capital of [MASK]."
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+ - text: "Algiers is the largest city in [MASK]."
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+ ---
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+
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+ # bert-base-en-el-cased
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+
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+ We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
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+
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+ Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly the same representations produced by the original model which preserves the original accuracy.
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+
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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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+
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+ ## How to use
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+
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+ ```python
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+ from transformers import AutoTokenizer, AutoModel
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+
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+ tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-en-el-cased")
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+ model = AutoModel.from_pretrained("Geotrend/bert-base-en-el-cased")
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+
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+ ```
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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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+
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+ ### How to cite
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+
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+ ```bibtex
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+ @inproceedings{smallermbert,
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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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+
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+ ## Contact
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+
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+ Please contact amine@geotrend.fr for any question, feedback or request.