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

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datasets: wikipedia
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license: apache-2.0
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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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- text: "Paris est la [MASK] de la France."
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- text: "Paris est la capitale de la [MASK]."
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- text: "L'élection américaine a eu [MASK] en novembre 2020."
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- text: "تقع سويسرا في [MASK] أوروبا"
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- text: "إسمي محمد وأسكن في [MASK]."
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# bert-base-15lang-cased
@@ -33,6 +43,8 @@ model = AutoModel.from_pretrained("Geotrend/bert-base-15lang-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

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

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

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

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

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

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

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

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

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

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datasets: wikipedia
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license: apache-2.0
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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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- text: "تقع سويسرا في [MASK] أوروبا"
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- text: "إسمي محمد وأسكن في [MASK]."
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# bert-base-en-ar-cased
@@ -24,6 +31,8 @@ model = AutoModel.from_pretrained("Geotrend/bert-base-en-ar-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

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

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datasets: wikipedia
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license: apache-2.0
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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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# bert-base-en-bg-cased
@@ -24,6 +29,8 @@ model = AutoModel.from_pretrained("Geotrend/bert-base-en-bg-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

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

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datasets: wikipedia
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license: apache-2.0
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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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# bert-base-en-cased
@@ -24,6 +29,8 @@ model = AutoModel.from_pretrained("Geotrend/bert-base-en-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

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

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datasets: wikipedia
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license: apache-2.0
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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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# bert-base-en-de-cased
@@ -24,6 +29,8 @@ model = AutoModel.from_pretrained("Geotrend/bert-base-en-de-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

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

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datasets: wikipedia
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license: apache-2.0
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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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# bert-base-en-el-cased
@@ -24,6 +29,8 @@ model = AutoModel.from_pretrained("Geotrend/bert-base-en-el-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

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

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datasets: wikipedia
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license: apache-2.0
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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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# bert-base-en-es-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

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

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datasets: wikipedia
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license: apache-2.0
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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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- text: "Paris est la [MASK] de la France."
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- text: "Paris est la capitale de la [MASK]."
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- text: "L'élection américaine a eu [MASK] en novembre 2020."
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# bert-base-en-fr-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

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

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datasets: wikipedia
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license: apache-2.0
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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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# bert-base-en-hi-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

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

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datasets: wikipedia
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license: apache-2.0
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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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# bert-base-en-ru-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

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

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datasets: wikipedia
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license: apache-2.0
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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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# bert-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

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

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datasets: wikipedia
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license: apache-2.0
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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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# bert-base-en-th-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

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

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datasets: wikipedia
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license: apache-2.0
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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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# bert-base-en-tr-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

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

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license: apache-2.0
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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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# bert-base-en-ur-cased
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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

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

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datasets: wikipedia
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license: apache-2.0
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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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# bert-base-en-vi-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

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

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datasets: wikipedia
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license: apache-2.0
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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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# bert-base-en-zh-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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