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 +1,35 @@
+import os
+from typing import List
+
+from swift import BaseArguments, InferRequest, TransformersEngine, get_template
+
+os.environ['IMAGE_MAX_TOKEN_NUM'] = '1024'
+os.environ['VIDEO_MAX_TOKEN_NUM'] = '128'
+os.environ['FPS_MAX_FRAMES'] = '16'
+
+infer_request = InferRequest(
+    messages=[{
+        'role':
+        'user',
+        'content':
+        "多标签分类，类别包括：['aeroplane', 'bicycle', 'bird', 'boat', 'bottle', "
+        "'bus', 'car', 'cat', 'chair', 'cow', 'diningtable', 'dog', 'horse', "
+        "'motorbike', 'person', 'pottedplant', 'sheep', 'sofa', 'train', 'tvmonitor']"
+    }],
+    images=['xxx.jpg'])
+adapter_path = 'output/vx-xxx/checkpoint-xxx'
+args = BaseArguments.from_pretrained(adapter_path)
+
+engine = TransformersEngine(
+    args.model,
+    adapters=[adapter_path],
+    task_type='seq_cls',
+    num_labels=args.num_labels,
+    problem_type=args.problem_type)
+template = get_template(
+    engine.processor, args.system, template_type=args.template, use_chat_template=args.use_chat_template)
+engine.template = template
+
+resp_list = engine.infer([infer_request])
+response: List[int] = resp_list[0].choices[0].message.content
+print(f'response: {response}')