chore: import upstream snapshot with attribution

doc/source/serve/doc_code/transformers_example.py

@@ -0,0 +1,29 @@
+import requests
+from starlette.requests import Request
+from typing import Dict
+
+from transformers import pipeline
+
+from ray import serve
+
+
+# 1: Wrap the pretrained sentiment analysis model in a Serve deployment.
+@serve.deployment
+class SentimentAnalysisDeployment:
+    def __init__(self):
+        self._model = pipeline("sentiment-analysis")
+
+    def __call__(self, request: Request) -> Dict:
+        return self._model(request.query_params["text"])[0]
+
+
+# 2: Deploy the deployment.
+serve.run(SentimentAnalysisDeployment.bind(), route_prefix="/")
+
+# 3: Query the deployment and print the result.
+print(
+    requests.get(
+        "http://localhost:8000/", params={"text": "Ray Serve is great!"}
+    ).json()
+)
+# {'label': 'POSITIVE', 'score': 0.9998476505279541}