English to Urdu Translation

English to Urdu translation model is a Transformer model trained on IWSLT back-translated data using Faireq. This model is produced during the experimentation related to building Context-Aware NMT models for low-resourced languages such as Urdu, Hindi, Sindhi, Pashtu and Punjabi. This particular model does not contains any contextual information and it is baseline sentence-level transformer model. The evaluation is done on WMT2017 standard test set.

source group: English
target group: Urdu
model: transformer
Contextual
Test Set: WMT2017
pre-processing: Moses + Indic Tokenizer
Dataset + Libray Details: DLNMT

Benchmarks

testset	BLEU
Wmt2017	57.95

How to use model?

This model can be accessed via git clone:

git clone https://huggingface.co/samiulhaq/iwslt-bt-en-ur

You can use Fairseq library to access the model for translations:
```
from fairseq.models.transformer import TransformerModel
```

Load the model

model = TransformerModel.from_pretrained('path/to/model')

Set the model to evaluation mode

model.eval()

Perform inference

input_text = 'Hello, how are you?'

output_text = model.translate(input_text)

print(output_text)

Downloads last month: -; Downloads are not tracked for this model. How to track