add qwen3

vllm-v0.6.2/examples/offline_inference_embedding.py

@@ -0,0 +1,17 @@
+from vllm import LLM
+
+# Sample prompts.
+prompts = [
+    "Hello, my name is",
+    "The president of the United States is",
+    "The capital of France is",
+    "The future of AI is",
+]
+
+# Create an LLM.
+model = LLM(model="intfloat/e5-mistral-7b-instruct", enforce_eager=True)
+# Generate embedding. The output is a list of EmbeddingRequestOutputs.
+outputs = model.encode(prompts)
+# Print the outputs.
+for output in outputs:
+    print(output.outputs.embedding)  # list of 4096 floats