Upload Qwen_Qwen3-VL-32B-Instruct_1.py with huggingface_hub

Qwen_Qwen3-VL-32B-Instruct_1.py

@@ -38,17 +38,46 @@ try:
     with open('Qwen_Qwen3-VL-32B-Instruct_1.txt', 'w', encoding='utf-8') as f:
         f.write('Everything was good in Qwen_Qwen3-VL-32B-Instruct_1.txt')
 except Exception as e:
-    with open('Qwen_Qwen3-VL-32B-Instruct_1.txt', 'w', encoding='utf-8') as f:
+    import os
+    from slack_sdk import WebClient
+    client = WebClient(token=os.environ['SLACK_TOKEN'])
+    client.chat_postMessage(
+        channel='#exp-slack-alerts',
+        text='Problem in <https://huggingface.co/datasets/model-metadata/code_execution_files/blob/main/Qwen_Qwen3-VL-32B-Instruct_1.txt|Qwen_Qwen3-VL-32B-Instruct_1.txt>',
+    )
+
+    with open('Qwen_Qwen3-VL-32B-Instruct_1.txt', 'a', encoding='utf-8') as f:
         import traceback
-        traceback.print_exc(file=f)
+        f.write('```CODE: 
+# Load model directly
+from transformers import AutoProcessor, AutoModelForVision2Seq
 
-        import os
-        from slack_sdk import WebClient
-        client = WebClient(token=os.environ['SLACK_TOKEN'])
-        client.chat_postMessage(
-            channel='#exp-slack-alerts',
-            text='Problem in <https://huggingface.co/datasets/model-metadata/code_execution_files/blob/main/Qwen_Qwen3-VL-32B-Instruct_1.txt|Qwen_Qwen3-VL-32B-Instruct_1.txt>',
-        )
+processor = AutoProcessor.from_pretrained("Qwen/Qwen3-VL-32B-Instruct")
+model = AutoModelForVision2Seq.from_pretrained("Qwen/Qwen3-VL-32B-Instruct")
+messages = [
+    {
+        "role": "user",
+        "content": [
+            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
+            {"type": "text", "text": "What animal is on the candy?"}
+        ]
+    },
+]
+inputs = processor.apply_chat_template(
+	messages,
+	add_generation_prompt=True,
+	tokenize=True,
+	return_dict=True,
+	return_tensors="pt",
+).to(model.device)
+
+outputs = model.generate(**inputs, max_new_tokens=40)
+print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))
+```
+ERROR: 
+')
+        traceback.print_exc(file=f)
+    
 finally:
     from huggingface_hub import upload_file
     upload_file(