added a simple sample code

README.md

@@ -27,6 +27,15 @@ This model predicts the punctuation of English, Italian, French and German texts
 This multilanguage model was trained on the [Europarl Dataset](https://huggingface.co/datasets/wmt/europarl) provided by the [SEPP-NLG Shared Task](https://sites.google.com/view/sentence-segmentation). *Please note that this dataset consists of political speeches. Therefore the model might perform differently on texts from other domains.*
 
 The model restores the following punctuation markers: **"." "," "?" "-" ":"**
+## Sample Code
+
+```
+from transformers import pipeline
+
+pipe = pipeline("token-classification", "oliverguhr/fullstop-punctuation-multilang-large")
+pipe(["this is an example that you can actually run"])
+```
+
 
 ## Results