Update README.md

README.md

@@ -23,14 +23,35 @@ library_name: transformers
 
 </div>
 
-## Use this Model
-# Load model directly
-from transformers import AutoModel
-model = AutoModel.from_pretrained("SLPG/Biomedical_French_to_English")
-# Use a pipeline as a high-level helper
-from transformers import pipeline
-
-pipe = pipeline("translation", model="SLPG/Biomedical_French_to_English")
+## How to use this Model?
+* This model can be accessed via git clone:
+  ```
+  git clone https://huggingface.co/SLPG/Biomedical_French_to_English
+  ```
+* 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)
+```
 
 ## Citation