Upload HuggingFaceTB_SmolLM3-3B_5.py with huggingface_hub

HuggingFaceTB_SmolLM3-3B_5.py

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+# /// script
+# requires-python = ">=3.12"
+# dependencies = [
+#     "transformers",
+#     "torch",
+# ]
+# ///
+
+try:
+    prompt = "Give me a brief explanation of gravity in simple terms."
+    messages = [
+        {"role": "system", "content": "/no_think"},
+        {"role": "user", "content": prompt}
+    ]
+    
+    text = tokenizer.apply_chat_template(
+        messages,
+        tokenize=False,
+        add_generation_prompt=True,
+    )
+    
+    model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
+    
+    # Generate the output
+    generated_ids = model.generate(**model_inputs, max_new_tokens=32768)
+    
+    # Get and decode the output
+    output_ids = generated_ids[0][len(model_inputs.input_ids[0]) :]
+    print(tokenizer.decode(output_ids, skip_special_tokens=True))
+    with open('HuggingFaceTB_SmolLM3-3B_5.txt', 'w') as f:
+        f.write('Everything was good in HuggingFaceTB_SmolLM3-3B_5.txt')
+except Exception as e:
+    with open('HuggingFaceTB_SmolLM3-3B_5.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_5.txt',
+        repo_id='model-metadata/custom_code_execution_files',
+        path_in_repo='HuggingFaceTB_SmolLM3-3B_5.txt',
+        repo_type='dataset',
+    )