
<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:
```python
>>> 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")

```
### beta version
{"language": "de", "license": "gpl", "tags": ["translation"], "datasets": ["wmt19"], "widget": [{"text": "My name is Karl and I live in Aachen."}]}
transformers pytorch marian text2text-generation translation de dataset:wmt19 license:gpl autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #marian #text2text-generation #translation #de #dataset-wmt19 #license-gpl #autotrain_compatible #endpoints_compatible #region-us 


<h2> English to German Translation </h2>


Model Name: Tanhim/translation-En2De <br />
language: German or Deutsch  <br />
thumbnail: URL <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:

### beta version
### 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: ### beta version
TAGS
#transformers #pytorch #marian #text2text-generation #translation #de #dataset-wmt19 #license-gpl #autotrain_compatible #endpoints_compatible #region-us 
 ### 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: ### beta version
passage: TAGS
#transformers #pytorch #marian #text2text-generation #translation #de #dataset-wmt19 #license-gpl #autotrain_compatible #endpoints_compatible #region-us 
### 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:### beta version