Update README.md

README.md

@@ -19,4 +19,17 @@ The improvements include:
 - Auto-handling of LTR characters like digits in between the text
 
 Note that this model is only optimized for printed/scanned documents and works best on texts with a length of up to 50-ish characters. (For an end-to-end OCR pipeline, use a text detector model first to 
-extract text boxes preferrably in word-level and then use this model), but it can be used to be fine-tuned on other domains like license plate or handwritten texts.
+extract text boxes preferrably in word-level and then use this model), but it can be used to be fine-tuned on other domains like license plate or handwritten texts.
+
+#### Usage
+```
+pip install hezar
+```
+
+```python
+from hezar import Model
+
+crnn = Model.load("hezarai/crnn-fa-printed-96-long")
+texts = crnn.predict(["sample_image.jpg"])
+print(texts)
+```