add usage

README.md

@@ -2613,7 +2613,44 @@ Our model is built upon the powerful BGE-Large, enhanced with [AnglE optimizing]
 
 Welcome to follow us on GitHub: https://github.com/SeanLee97/AnglE.
 
-If you use our pre-trained models, please support us by citing our work:
+# Usage
+
+
+```bash
+python -m pip install -U angle-emb
+```
+
+### UAE
+
+1) Non-Retrieval
+
+```python
+from angle_emb import AnglE
+
+angle = AnglE.from_pretrained('WhereIsAI/UAE-Large-V1', pooling_strategy='cls').cuda()
+vec = angle.encode('hello world', to_numpy=True)
+print(vec)
+vecs = angle.encode(['hello world1', 'hello world2'], to_numpy=True)
+print(vecs)
+```
+
+2) Retrieval
+
+For retrieval purposes, please use the prompt `Prompts.C`.
+
+```python
+from angle_emb import AnglE, Prompts
+
+angle = AnglE.from_pretrained('WhereIsAI/UAE-Large-V1', pooling_strategy='cls').cuda()
+angle.set_prompt(prompt=Prompts.C)
+vec = angle.encode({'text': 'hello world'}, to_numpy=True)
+print(vec)
+vecs = angle.encode([{'text': 'hello world1', 'text': 'hello world2'}], to_numpy=True)
+print(vecs)
+```
+
+# Citation 
+If you use our pre-trained models, welcome to support us by citing our work:
 
 ```
 @article{li2023angle,