chore: import upstream snapshot with attribution

2026-07-13 13:34:58 +08:00
commit a203934033
1368 changed files with 175001 additions and 0 deletions
@@ -0,0 +1,56 @@
+# Copyright (c) ModelScope Contributors. All rights reserved.
+import os
+from openai import OpenAI
+
+os.environ['CUDA_VISIBLE_DEVICES'] = '0'
+
+
+def infer(client, model: str, messages):
+    # You can also use client.embeddings.create
+    # But this interface does not support multi-modal medias
+    resp = client.chat.completions.create(model=model, messages=messages)
+    emb = resp.data[0]['embedding']
+    shape = len(emb)
+    sample = str(emb)
+    if len(emb) > 6:
+        sample = str(emb[:3])[:-1] + ', ..., ' + str(emb[-3:])[1:]
+    print(f'messages: {messages}')
+    print(f'Embedding(shape: [1, {shape}]): {sample}')
+    return emb
+
+
+def run_client(host: str = '127.0.0.1', port: int = 8000):
+    client = OpenAI(
+        api_key='EMPTY',
+        base_url=f'http://{host}:{port}/v1',
+    )
+    model = client.models.list().data[0].id
+    print(f'model: {model}')
+
+    messages = [{
+        'role':
+        'user',
+        'content': [
+            # {
+            #   'type': 'image',
+            #   'image': 'http://modelscope-open.oss-cn-hangzhou.aliyuncs.com/images/animal.png'
+            # },
+            {
+                'type': 'text',
+                'text': 'What is the capital of China?'
+            },
+        ]
+    }]
+    infer(client, model, messages)
+
+
+if __name__ == '__main__':
+    from swift import DeployArguments, run_deploy
+    with run_deploy(
+            DeployArguments(
+                model='Qwen/Qwen3-Embedding-0.6B',  # GME/GTE models or your checkpoints are also supported
+                task_type='embedding',
+                infer_backend='vllm',
+                verbose=False,
+                log_interval=-1)) as port:
+        run_client(port=port)
@@ -0,0 +1,8 @@
+# GME/GTE models or your checkpoints are also supported
+# transformers/vllm/sglang supported
+CUDA_VISIBLE_DEVICES=0 swift deploy \
+    --host 0.0.0.0 \
+    --port 8000 \
+    --task_type embedding \
+    --model Qwen/Qwen3-Embedding-0.6B \
+    --infer_backend sglang