Upload ArliAI_gpt-oss-120b-Derestricted_0.py with huggingface_hub

ArliAI_gpt-oss-120b-Derestricted_0.py

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+# /// script
+# requires-python = ">=3.12"
+# dependencies = [
+#     "numpy",
+#     "einops",
+#     "pandas",
+#     "matplotlib",
+#     "protobuf",
+#     "torch",
+#     "sentencepiece",
+#     "torchvision",
+#     "transformers",
+#     "timm",
+#     "diffusers",
+#     "sentence-transformers",
+#     "accelerate",
+#     "peft",
+#     "slack-sdk",
+# ]
+# ///
+
+try:
+    # Use a pipeline as a high-level helper
+    from transformers import pipeline
+    
+    pipe = pipeline("text-generation", model="ArliAI/gpt-oss-120b-Derestricted")
+    messages = [
+        {"role": "user", "content": "Who are you?"},
+    ]
+    pipe(messages)
+    with open('ArliAI_gpt-oss-120b-Derestricted_0.txt', 'w', encoding='utf-8') as f:
+        f.write('Everything was good in ArliAI_gpt-oss-120b-Derestricted_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/ArliAI_gpt-oss-120b-Derestricted_0.txt|ArliAI_gpt-oss-120b-Derestricted_0.txt>',
+    )
+
+    with open('ArliAI_gpt-oss-120b-Derestricted_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
+
+pipe = pipeline("text-generation", model="ArliAI/gpt-oss-120b-Derestricted")
+messages = [
+    {"role": "user", "content": "Who are you?"},
+]
+pipe(messages)
+```
+
+ERROR: 
+''')
+        traceback.print_exc(file=f)
+    
+finally:
+    from huggingface_hub import upload_file
+    upload_file(
+        path_or_fileobj='ArliAI_gpt-oss-120b-Derestricted_0.txt',
+        repo_id='model-metadata/code_execution_files',
+        path_in_repo='ArliAI_gpt-oss-120b-Derestricted_0.txt',
+        repo_type='dataset',
+    )