docs: update the example

README.md

@@ -205,23 +205,31 @@ print(image_embeddings[0] @ text_embeddings[0].T)  # image-text cross-modal simi
 or via sentence-transformers:
 
 ```python
-# !pip install sentence-transformers 
+# !pip install sentence-transformers einops timm pillow
 from sentence_transformers import SentenceTransformer
 
 # Initialize the model
-model = SentenceTransformer('jinaai/jina-clip-v2', trust_remote_code=True)
+truncate_dim = 512
+model = SentenceTransformer(
+    "jinaai/jina-clip-v2", trust_remote_code=True, truncate_dim=truncate_dim
+)
 
 # Sentences
-sentences = ['A blue cat', 'A red cat']
+sentences = [
+    "A neural network walks into a bar and forgets why it came.",
+    "Why do programmers prefer dark mode? Because light attracts bugs.",
+]
 
 # Public image URLs
 image_urls = [
-    'https://i.pinimg.com/600x315/21/48/7e/21487e8e0970dd366dafaed6ab25d8d8.jpg',
-    'https://i.pinimg.com/736x/c9/f2/3e/c9f23e212529f13f19bad5602d84b78b.jpg'
+    "https://i.pinimg.com/600x315/21/48/7e/21487e8e0970dd366dafaed6ab25d8d8.jpg",
+    "https://i.pinimg.com/736x/c9/f2/3e/c9f23e212529f13f19bad5602d84b78b.jpg",
 ]
 
 text_embeddings = model.encode(sentences)
 image_embeddings = model.encode(image_urls)
+query = "tell me a joke about AI"
+text_query_embeddings = model.encode(query, prompt_name="retrieval.query")
 ```
 
 JavaScript developers can use Jina CLIP via the [transformers.js](https://huggingface.co/docs/transformers.js) library. Note that to use this model, you need to install transformers.js [v3](https://github.com/xenova/transformers.js/tree/v3) from source using `npm install xenova/transformers.js#v3`.
@@ -238,7 +246,10 @@ const processor = await AutoProcessor.from_pretrained('Xenova/clip-vit-base-patc
 const vision_model = await CLIPVisionModelWithProjection.from_pretrained('jinaai/jina-clip-v2');
 
 // Run tokenization
-const texts = ['A blue cat', 'A red cat'];
+const texts = [
+    'A neural network walks into a bar and forgets why it came.',
+    'Why do programmers prefer dark mode? Because light attracts bugs.',
+];
 const text_inputs = tokenizer(texts, { padding: true, truncation: true });
 
 // Compute text embeddings