Update README.md

README.md

@@ -182,8 +182,18 @@ The base model is [DeBERTa-v3-base from Microsoft](https://huggingface.co/micros
 
 For highest performance (but less speed), I recommend using https://huggingface.co/MoritzLaurer/DeBERTa-v3-large-mnli-fever-anli-ling-wanli.
 
-## Intended uses & limitations
-#### How to use the model
+
+### How to use the model
+#### Simple zero-shot classification pipeline
+```python
+from transformers import pipeline
+classifier = pipeline("zero-shot-classification", model="MoritzLaurer/mDeBERTa-v3-base-mnli-xnli")
+sequence_to_classify = "Angela Merkel is a politician in Germany and leader of the CDU ist eine Politikerin in Deutschland und Vorsitzende der CDU"
+candidate_labels = ["politics", "economy", "entertainment", "environment"]
+output = classifier(sequence_to_classify, candidate_labels, multi_label=False)
+print(output)
+```
+#### NLI use-case
 ```python
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 import torch