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--- |
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language: de |
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widget: |
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- text: My name is Karl and I live in Aachen. |
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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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<h2> English to German Translation </h2> |
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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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### How to use |
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You can use this model directly with a pipeline for machine translation. 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 Karl and I live in Aachen") |
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``` |
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### beta version |
