Include tutorial

README.md

@@ -41,9 +41,20 @@ classifier(
   0.026829993352293968]}
 """
 ```
-
 The `hypothesis_template` parameter is important and should be in Spanish. **In the widget on the right, this parameter is set to its default value: "This example is {}.", so different results are expected.** 
 
+## Demo and tutorial
+
+If you want to see this model in action, we have created a basic tutorial using [Rubrix](https://www.rubrix.ml/), a free and open-source tool to *explore, annotate, and monitor data for NLP*. 
+
+The tutorial shows you how to evaluate this classifier for news categorization in Spanish, and how it could be used to build a training set for training a supervised classifier (which might be useful if you want obtain more precise results or improve the model over time).
+
+You can [find the tutorial here](https://rubrix.readthedocs.io/en/master/tutorials/zeroshot_data_annotation.html).
+
+See the video below showing the predictions within the annotation process (see that the predictions are almost correct for every example).
+
+<video width="100%" controls><source src="https://github.com/recognai/rubrix-materials/raw/main/tutorials/videos/zeroshot_selectra_news_data_annotation.mp4" type="video/mp4"></video>
+
 ## Metrics
 
 | Model | Params | XNLI (acc) | \*MLSUM (acc) |