Update README.md

README.md

@@ -2718,8 +2718,32 @@ console.log(cos_sim(truncated[0].data, truncated[1].data)); // 0.697953202142520
 
 ### Using API
 
-You’ll be able to use the models through our API as well. The API is coming soon and will have some exciting features. Stay tuned!
+You can use the Model via our API as follows.
 
+```python
+from mixedbread_ai.client import MixedbreadAI
+from sklearn.metrics.pairwise import cosine_similarity
+import os
+
+mxbai = MixedbreadAI(api_key="{MIXEDBREAD_API_KEY}")
+
+english_sentences = [
+    'What is the capital of Australia?',
+    'Canberra is the capital of Australia.'
+] 
+
+res = mxbai.embeddings(
+     input=english_sentences,
+     model="mixedbread-ai/mxbai-embed-2d-large-v1",
+     dimensions=512,
+)
+embeddings = [entry.embedding for entry in res.data]
+
+similarities = cosine_similarity([embeddings[0]], [embeddings[1]])
+print(similarities)
+```
+
+The API comes with native INT8 and binary quantization support!
 
 ## Evaluation