Update README.md

README.md

@@ -15,7 +15,17 @@ This model is a fine-tuned version of the [DeBERTa base model](https://huggingfa
 The intended use of the model is to classify English-language, emoji-containing, short-form text documents as a binary task: non-hateful vs hateful. The model has demonstrated strengths compared to commercial and academic models on classifying emoji-based hate, but is also a strong classifier of text-only hate. Because the model was trained on synthetic, adversarially-generated data, it may have some weaknesses when it comes to empirical emoji-based hate 'in-the-wild'. 
 
 ## How to use
-Add
+The model can be used with pipeline:
+```python
+from transformers import pipeline
+classifier = pipeline("text-classification",model='HannahRoseKirk/Hatemoji', return_all_scores=True)
+prediction = classifier("I 💜💙💚 emoji 😍", )
+print(prediction)
+"""
+Output
+[[{'label': 'LABEL_0', 'score': 0.9999157190322876}, {'label': 'LABEL_1', 'score': 8.425049600191414e-05}]]
+"""
+```
 
 ### Training data
 The model was trained on: