Upload HuggingFaceTB_SmolLM3-3B_3.py with huggingface_hub

HuggingFaceTB_SmolLM3-3B_3.py

@@ -0,0 +1,63 @@
+# /// script
+# requires-python = ">=3.12"
+# dependencies = [
+#     "torch",
+#     "torchvision",
+#     "transformers",
+#     "diffusers",
+#     "sentence-transformers",
+#     "accelerate",
+#     "peft",
+#     "slack-sdk",
+# ]
+# ///
+
+try:
+    from transformers import AutoModelForCausalLM, AutoTokenizer
+    
+    model_name = "HuggingFaceTB/SmolLM3-3B"
+    device = "cuda" # for GPU usage or "cpu" for CPU usage
+    
+    # load the tokenizer and the model
+    tokenizer = AutoTokenizer.from_pretrained(model_name)
+    model = AutoModelForCausalLM.from_pretrained(
+        model_name,
+    ).to(device)
+    with open('HuggingFaceTB_SmolLM3-3B_3.txt', 'w', encoding='utf-8') as f:
+        f.write('Everything was good in HuggingFaceTB_SmolLM3-3B_3.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_3.txt|HuggingFaceTB_SmolLM3-3B_3.txt>',
+    )
+
+    with open('HuggingFaceTB_SmolLM3-3B_3.txt', 'a', encoding='utf-8') as f:
+        import traceback
+        f.write('''```CODE: 
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "HuggingFaceTB/SmolLM3-3B"
+device = "cuda" # for GPU usage or "cpu" for CPU usage
+
+# load the tokenizer and the model
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+).to(device)
+```
+
+ERROR: 
+''')
+        traceback.print_exc(file=f)
+    
+finally:
+    from huggingface_hub import upload_file
+    upload_file(
+        path_or_fileobj='HuggingFaceTB_SmolLM3-3B_3.txt',
+        repo_id='model-metadata/code_execution_files',
+        path_in_repo='HuggingFaceTB_SmolLM3-3B_3.txt',
+        repo_type='dataset',
+    )