Upload HuggingFaceTB_SmolLM3-3B_6.py with huggingface_hub

HuggingFaceTB_SmolLM3-3B_6.py

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+# /// script
+# requires-python = ">=3.12"
+# dependencies = [
+#     "transformers",
+#     "torch",
+# ]
+# ///
+
+try:
+    tools = [
+        {
+            "name": "get_weather",
+            "description": "Get the weather in a city",
+            "parameters": {"type": "object", "properties": {"city": {"type": "string", "description": "The city to get the weather for"}}}}
+    ]
+    
+    messages = [
+        {
+            "role": "user",
+            "content": "Hello! How is the weather today in Copenhagen?"
+        }
+    ]
+    
+    inputs = tokenizer.apply_chat_template(
+        messages,
+        enable_thinking=False, # True works as well, your choice!
+        xml_tools=tools,
+        add_generation_prompt=True,
+        tokenize=True,
+        return_tensors="pt"
+    ).to(model.device)
+    
+    outputs = model.generate(inputs)
+    print(tokenizer.decode(outputs[0]))
+    with open('HuggingFaceTB_SmolLM3-3B_6.txt', 'w') as f:
+        f.write('Everything was good in HuggingFaceTB_SmolLM3-3B_6.txt')
+except Exception as e:
+    with open('HuggingFaceTB_SmolLM3-3B_6.txt', 'w') as f:
+        import traceback
+        traceback.print_exc(file=f)
+finally:
+    from huggingface_hub import upload_file
+    upload_file(
+        path_or_fileobj='HuggingFaceTB_SmolLM3-3B_6.txt',
+        repo_id='model-metadata/custom_code_execution_files',
+        path_in_repo='HuggingFaceTB_SmolLM3-3B_6.txt',
+        repo_type='dataset',
+    )