Migrate model card from transformers-repo

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Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/Geotrend/bert-base-15lang-cased/README.md

README.md

@@ -0,0 +1,61 @@
+---
+language: multilingual
+
+datasets: wikipedia
+
+license: apache-2.0
+
+widget:
+- text: "Google generated 46 billion [MASK] in revenue."
+- text: "Paris is the capital of [MASK]."
+- text: "Algiers is the largest city in [MASK]."
+- text: "Paris est la [MASK] de la France."
+- text: "Paris est la capitale de la [MASK]."
+- text: "L'élection américaine a eu [MASK] en novembre 2020."
+- text: "تقع سويسرا في [MASK] أوروبا"
+- text: "إسمي محمد وأسكن في [MASK]."
+---
+
+# bert-base-15lang-cased
+
+We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
+
+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.
+
+The measurements below have been computed on a [Google Cloud n1-standard-1 machine (1 vCPU, 3.75 GB)](https://cloud.google.com/compute/docs/machine-types\#n1_machine_type):
+
+|             Model               | Num parameters |   Size   |  Memory  | Loading time |
+| ------------------------------- | -------------- | -------- | -------- | ------------ |
+| bert-base-multilingual-cased    |   178 million  |  714 MB  | 1400 MB  |    4.2 sec   |
+| Geotrend/bert-base-15lang-cased |   141 million  |  564 MB  | 1098 MB  |    3.1 sec   |
+
+Handled languages: en, fr, es, de, zh, ar, ru, vi, el, bg, th, tr, hi, ur and sw.
+
+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).
+
+## How to use
+
+```python
+from transformers import AutoTokenizer, AutoModel
+
+tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-15lang-cased")
+model = AutoModel.from_pretrained("Geotrend/bert-base-15lang-cased")
+
+```
+
+To generate other smaller versions of multilingual transformers please visit [our Github repo](https://github.com/Geotrend-research/smaller-transformers).
+
+### How to cite
+
+```bibtex
+@inproceedings{smallermbert,
+  title={Load What You Need: Smaller Versions of Mutlilingual BERT},
+  author={Abdaoui, Amine and Pradel, Camille and Sigel, Grégoire},
+  booktitle={SustaiNLP / EMNLP},
+  year={2020}
+}
+```
+
+## Contact 
+
+Please contact [email protected] for any question, feedback or request.