<h2> English to German Translation </h2>
Model Name: Tanhim/translation-En2De <br /> language: German or Deutsch <br /> thumbnail: https://huggingface.co/Tanhim/translation-En2De <br />
How to use
You can use this model directly with a pipeline for machine translation. Since the generation relies on some randomness, I set a seed for reproducibility:
>>> from transformers import pipeline, set_seed
>>> text_En2De= pipeline('translation', model='Tanhim/translation-En2De', tokenizer='Tanhim/translation-En2De')
>>> set_seed(42)
>>> text_En2De("My name is Karl and I live in Aachen")
