add usage example

README.md

@@ -18,3 +18,31 @@ between english and English.
 # Original implementation
 
 Follow [this link](https://huggingface.co/bert-base-uncased) to see the original implementation.
+
+# How to use
+
+Download the model by cloning the repository via `git clone https://huggingface.co/OWG/bert-base-uncased`.
+
+Then you can use the model with the following code:
+
+```python
+from onnxruntime import InferenceSession, SessionOptions, GraphOptimizationLevel
+from transformers import BertTokenizer
+
+
+tokenizer = BertTokenizer.from_pretrained("bert-base-uncased")
+
+options = SessionOptions()
+options.graph_optimization_level = GraphOptimizationLevel.ORT_ENABLE_ALL
+
+session = InferenceSession("path/to/model.onnx", sess_options=options)
+session.disable_fallback()
+
+text = "Replace me by any text you want to encode."
+input_ids = tokenizer(text, return_tensors="pt", return_attention_mask=True)
+
+inputs = {k: v.cpu().detach().numpy() for k, v in input_ids.items()}
+outputs_name = session.get_outputs()[0].name
+
+outputs = session.run(output_names=[outputs_name], input_feed=inputs)
+```