Upload HuggingFaceTB_SmolLM3-3B_0.py with huggingface_hub

HuggingFaceTB_SmolLM3-3B_0.py

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+# /// script
+# requires-python = ">=3.12"
+# dependencies = [
+#     "torch",
+#     "torchvision",
+#     "transformers",
+#     "diffusers",
+#     "sentence-transformers",
+#     "accelerate",
+#     "peft",
+#     "slack-sdk",
+# ]
+# ///
+
+try:
+    # Use a pipeline as a high-level helper
+    from transformers import pipeline
+    from transformers import AutoTokenizer
+    
+    model_id = "HuggingFaceTB/SmolLM3-3B"
+    
+    tokenizer = AutoTokenizer.from_pretrained(model_id)
+    
+    pipe = pipeline("text-generation", model=model_id, tokenizer=tokenizer)
+    with open('HuggingFaceTB_SmolLM3-3B_0.txt', 'w', encoding='utf-8') as f:
+        f.write('Everything was good in HuggingFaceTB_SmolLM3-3B_0.txt')
+except Exception as e:
+    import os
+    from slack_sdk import WebClient
+    client = WebClient(token=os.environ['SLACK_TOKEN'])
+    client.chat_postMessage(
+        channel='#hub-model-metadata-snippets-sprint',
+        text='Problem in <https://huggingface.co/datasets/model-metadata/code_execution_files/blob/main/HuggingFaceTB_SmolLM3-3B_0.txt|HuggingFaceTB_SmolLM3-3B_0.txt>',
+    )
+
+    with open('HuggingFaceTB_SmolLM3-3B_0.txt', 'a', encoding='utf-8') as f:
+        import traceback
+        f.write('''```CODE: 
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+from transformers import AutoTokenizer
+
+model_id = "HuggingFaceTB/SmolLM3-3B"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+
+pipe = pipeline("text-generation", model=model_id, tokenizer=tokenizer)
+```
+
+ERROR: 
+''')
+        traceback.print_exc(file=f)
+    
+finally:
+    from huggingface_hub import upload_file
+    upload_file(
+        path_or_fileobj='HuggingFaceTB_SmolLM3-3B_0.txt',
+        repo_id='model-metadata/code_execution_files',
+        path_in_repo='HuggingFaceTB_SmolLM3-3B_0.txt',
+        repo_type='dataset',
+    )