Upload mirth_chonky_mmbert_small_multilingual_1_1.py with huggingface_hub

mirth_chonky_mmbert_small_multilingual_1_1.py

@@ -19,17 +19,27 @@ try:
     with open('mirth_chonky_mmbert_small_multilingual_1_1.txt', 'w', encoding='utf-8') as f:
         f.write('Everything was good in mirth_chonky_mmbert_small_multilingual_1_1.txt')
 except Exception as e:
-    with open('mirth_chonky_mmbert_small_multilingual_1_1.txt', 'w', encoding='utf-8') as f:
+    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/mirth_chonky_mmbert_small_multilingual_1_1.txt|mirth_chonky_mmbert_small_multilingual_1_1.txt>',
+    )
+
+    with open('mirth_chonky_mmbert_small_multilingual_1_1.txt', 'a', encoding='utf-8') as f:
         import traceback
-        traceback.print_exc(file=f)
+        f.write('```CODE: 
+# Load model directly
+from transformers import AutoTokenizer, AutoModelForTokenClassification
 
-        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/mirth_chonky_mmbert_small_multilingual_1_1.txt|mirth_chonky_mmbert_small_multilingual_1_1.txt>',
-        )
+tokenizer = AutoTokenizer.from_pretrained("mirth/chonky_mmbert_small_multilingual_1")
+model = AutoModelForTokenClassification.from_pretrained("mirth/chonky_mmbert_small_multilingual_1")
+```
+ERROR: 
+')
+        traceback.print_exc(file=f)
+    
 finally:
     from huggingface_hub import upload_file
     upload_file(