Upload meta-llama_Llama-3.2-1B_2.py with huggingface_hub

meta-llama_Llama-3.2-1B_2.py

@@ -0,0 +1,53 @@
+# /// script
+# requires-python = ">=3.12"
+# dependencies = [
+#     "torch",
+#     "torchvision",
+#     "transformers",
+#     "diffusers",
+#     "sentence-transformers",
+#     "accelerate",
+#     "peft",
+#     "slack-sdk",
+# ]
+# ///
+
+try:
+    # Load model directly
+    from transformers import AutoTokenizer, AutoModelForCausalLM
+    
+    tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-3.2-1B")
+    model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B")
+    with open('meta-llama_Llama-3.2-1B_2.txt', 'w', encoding='utf-8') as f:
+        f.write('Everything was good in meta-llama_Llama-3.2-1B_2.txt')
+except Exception as e:
+    import os
+    from slack_sdk import WebClient
+    client = WebClient(token=os.environ['SLACK_TOKEN'])
+    client.chat_postMessage(
+        channel='#exp-slack-alerts',
+        text='Problem in <https://huggingface.co/datasets/model-metadata/code_execution_files/blob/main/meta-llama_Llama-3.2-1B_2.txt|meta-llama_Llama-3.2-1B_2.txt>',
+    )
+
+    with open('meta-llama_Llama-3.2-1B_2.txt', 'a', encoding='utf-8') as f:
+        import traceback
+        f.write('''```CODE: 
+# Load model directly
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-3.2-1B")
+model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B")
+```
+
+ERROR: 
+''')
+        traceback.print_exc(file=f)
+    
+finally:
+    from huggingface_hub import upload_file
+    upload_file(
+        path_or_fileobj='meta-llama_Llama-3.2-1B_2.txt',
+        repo_id='model-metadata/code_execution_files',
+        path_in_repo='meta-llama_Llama-3.2-1B_2.txt',
+        repo_type='dataset',
+    )