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@@ -3,6 +3,27 @@ language: de
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  widget:
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  - text: My name is Maria
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  tags:
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- - translation
 
 
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  license: gpl
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  widget:
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  - text: My name is Maria
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  tags:
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+ - translation
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+ datasets:
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+ - wmt19
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  license: gpl
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+ ---
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+
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+ <h2> English to German Translation </h2>
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+
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+
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+ Model Name: Tanhim/translation-En2De <br />
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+ language: German or Deutsch <br />
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+ thumbnail: https://huggingface.co/Tanhim/translation-En2De <br />
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+
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+ ### How to use
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+ You can use this model directly with a pipeline for text generation. Since the generation relies on some randomness, I
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+ set a seed for reproducibility:
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+ ```python
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+ >>> from transformers import pipeline, set_seed
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+ >>> text_En2De= pipeline('translation', model='Tanhim/translation-En2De', tokenizer='Tanhim/translation-En2De')
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+ >>> set_seed(42)
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+ >>> text_En2De("My name is Maria,")
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+
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+ ```
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+ #Beta version