Back Translation
# 🚀 Feature request
I want to perform Back translation as a text data augmentation technique using TensorFlow

I want to augment data using translation techniques. I want to perform the below operation English ---> French ---> English. so that resulting english statement might be a new one. These sentences can be part of test data and will help to perform Behavioral Testing of NLP models.

## Motivation

I want to perform above operation using tensorflow. Currently there is no implementation of OPUS models for <any source text> to English. All the models are available in pytorch and not in tensorflow. This is really irritating. 

## Your contribution

I am not sure, if I can. But you can assign me simple tasks

Hi @chaituValKanO 

Please use the [forum](https://discuss.huggingface.co/) to ask such questions. Issues are for bugs, feature requests etc. 

And to answer your question you could use the `MarianMT` models for this purpose.  Here's a nice blog-post about that
https://amitness.com/back-translation/.

Will close this issue. Thanks!<|||||>Hello Suraj,

But the issue is that there are no Pre trained models for MarianMT under
Tensorflow framework where target is English language.

Nevertheless, I will check with people in forum.
Thanks and regards,
Chaitanya Kanth.

On Fri, 12 Feb 2021 at 5:46 PM, Suraj Patil <notifications@github.com>
wrote:

> Closed #10138 <https://github.com/huggingface/transformers/issues/10138>.
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-- 
Sent from my iphone
<|||||>Marian is available in TF as well, you'll just need to pass `from_pt=True` to `from_pretrained` when loading the TF modle
<|||||>Thanks Suraj 😁

On Fri, Feb 12, 2021 at 6:22 PM Suraj Patil <notifications@github.com>
wrote:

> Marian is available in TF as well, you'll just need to pass from_pt=True
> to from_pretrained when loading the TF modle
>
> —
> You are receiving this because you were mentioned.
> Reply to this email directly, view it on GitHub
> <https://github.com/huggingface/transformers/issues/10138#issuecomment-778177918>,
> or unsubscribe
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