[model_cards]: control input examples of Geotrend models (huggingface…

…#8727)

* [model_cards]: control arabic model examples

* [model_cards]: control input examples of Geotrend models

* [model_cards]: add link to generatation script

model_cards/Geotrend/bert-base-15lang-cased/README.md

@@ -4,6 +4,16 @@ 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
@@ -33,6 +43,8 @@ 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

model_cards/Geotrend/bert-base-ar-cased/README.md

@@ -4,6 +4,10 @@ language: ar
 datasets: wikipedia
 
 license: apache-2.0
+
+widget:
+- text: "تقع سويسرا في [MASK] أوروبا"
+- text: "إسمي محمد وأسكن في [MASK]."
 ---
 
 # bert-base-ar-cased
@@ -25,6 +29,8 @@ model = AutoModel.from_pretrained("Geotrend/bert-base-ar-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

model_cards/Geotrend/bert-base-bg-cased/README.md

@@ -24,6 +24,8 @@ model = AutoModel.from_pretrained("Geotrend/bert-base-bg-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

model_cards/Geotrend/bert-base-de-cased/README.md

@@ -24,6 +24,8 @@ model = AutoModel.from_pretrained("Geotrend/bert-base-de-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

model_cards/Geotrend/bert-base-el-cased/README.md

@@ -24,6 +24,8 @@ model = AutoModel.from_pretrained("Geotrend/bert-base-el-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

model_cards/Geotrend/bert-base-en-ar-cased/README.md

@@ -4,6 +4,13 @@ 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: "تقع سويسرا في [MASK] أوروبا"
+- text: "إسمي محمد وأسكن في [MASK]."
 ---
 
 # bert-base-en-ar-cased
@@ -24,6 +31,8 @@ model = AutoModel.from_pretrained("Geotrend/bert-base-en-ar-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

model_cards/Geotrend/bert-base-en-bg-cased/README.md

@@ -4,6 +4,11 @@ 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]."
 ---
 
 # bert-base-en-bg-cased
@@ -24,6 +29,8 @@ model = AutoModel.from_pretrained("Geotrend/bert-base-en-bg-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

model_cards/Geotrend/bert-base-en-cased/README.md

@@ -4,6 +4,11 @@ language: en
 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]."
 ---
 
 # bert-base-en-cased
@@ -24,6 +29,8 @@ model = AutoModel.from_pretrained("Geotrend/bert-base-en-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

model_cards/Geotrend/bert-base-en-de-cased/README.md

@@ -4,6 +4,11 @@ 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]."
 ---
 
 # bert-base-en-de-cased
@@ -24,6 +29,8 @@ model = AutoModel.from_pretrained("Geotrend/bert-base-en-de-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

model_cards/Geotrend/bert-base-en-el-cased/README.md

@@ -4,6 +4,11 @@ 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]."
 ---
 
 # bert-base-en-el-cased
@@ -24,6 +29,8 @@ model = AutoModel.from_pretrained("Geotrend/bert-base-en-el-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

model_cards/Geotrend/bert-base-en-es-cased/README.md

@@ -4,6 +4,11 @@ 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]."
 ---
 
 # bert-base-en-es-cased
@@ -24,6 +29,8 @@ model = AutoModel.from_pretrained("Geotrend/bert-base-en-es-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

model_cards/Geotrend/bert-base-en-fr-cased/README.md

@@ -4,6 +4,14 @@ 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."
 ---
 
 # bert-base-en-fr-cased
@@ -24,6 +32,8 @@ model = AutoModel.from_pretrained("Geotrend/bert-base-en-fr-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

model_cards/Geotrend/bert-base-en-hi-cased/README.md

@@ -4,6 +4,11 @@ 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]."
 ---
 
 # bert-base-en-hi-cased
@@ -24,6 +29,8 @@ model = AutoModel.from_pretrained("Geotrend/bert-base-en-hi-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

model_cards/Geotrend/bert-base-en-ru-cased/README.md

@@ -4,6 +4,11 @@ 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]."
 ---
 
 # bert-base-en-ru-cased
@@ -24,6 +29,8 @@ model = AutoModel.from_pretrained("Geotrend/bert-base-en-ru-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

model_cards/Geotrend/bert-base-en-sw-cased/README.md

@@ -4,6 +4,11 @@ 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]."
 ---
 
 # bert-base-en-sw-cased
@@ -24,6 +29,8 @@ model = AutoModel.from_pretrained("Geotrend/bert-base-en-sw-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

model_cards/Geotrend/bert-base-en-th-cased/README.md

@@ -4,6 +4,11 @@ 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]."
 ---
 
 # bert-base-en-th-cased
@@ -24,6 +29,8 @@ model = AutoModel.from_pretrained("Geotrend/bert-base-en-th-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

model_cards/Geotrend/bert-base-en-tr-cased/README.md

@@ -4,6 +4,11 @@ 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]."
 ---
 
 # bert-base-en-tr-cased
@@ -24,6 +29,8 @@ model = AutoModel.from_pretrained("Geotrend/bert-base-en-tr-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

model_cards/Geotrend/bert-base-en-ur-cased/README.md

@@ -4,6 +4,11 @@ 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]."
 ---
 
 # bert-base-en-ur-cased
@@ -24,6 +29,8 @@ model = AutoModel.from_pretrained("Geotrend/bert-base-en-ur-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

model_cards/Geotrend/bert-base-en-vi-cased/README.md

@@ -4,6 +4,11 @@ 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]."
 ---
 
 # bert-base-en-vi-cased
@@ -24,6 +29,8 @@ model = AutoModel.from_pretrained("Geotrend/bert-base-en-vi-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

model_cards/Geotrend/bert-base-en-zh-cased/README.md

@@ -4,6 +4,11 @@ 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]."
 ---
 
 # bert-base-en-zh-cased
@@ -24,6 +29,8 @@ model = AutoModel.from_pretrained("Geotrend/bert-base-en-zh-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