Update README.md

README.md

@@ -11,13 +11,13 @@ library_name: fairseq
 pipeline_tag: translation
 ---
 
-### English to Urdu Translation
+### Urdu to English Translation
 Urdu to English 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: Urdu 
-* target group: English 
+* source group: English 
+* target group: Urdu 
 
 * model: transformer
 * Contextual 
@@ -29,4 +29,34 @@ The evaluation is done on WMT2017 standard test set.
 
 | testset               | BLEU  |
 |-----------------------|-------|
-| Wmt2017  	| 57.95 	|
+| Wmt2017  	| 50.03 	|
+
+## 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)
+```