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ERNIE-4.5-21B-A3B-PT

@@ -7,16 +7,11 @@
 # ///
 
 try:
-    # Use a pipeline as a high-level helper
-    from transformers import pipeline
-    
-    pipe = pipeline("text-generation", model="baidu/ERNIE-4.5-21B-A3B-PT", trust_remote_code=True)
-    messages = [
-        {"role": "user", "content": "Who are you?"},
-    ]
-    pipe(messages)
+    # Load model directly
+    from transformers import AutoModelForCausalLM
+    model = AutoModelForCausalLM.from_pretrained("baidu/ERNIE-4.5-21B-A3B-PT", trust_remote_code=True)
 except Exception as e:
-    exception_file = 'baidu_ERNIE-4.5-21B-A3B-PT_0_exception.txt'
+    exception_file = 'baidu_ERNIE-4.5-21B-A3B-PT_1_exception.txt'
     with open(exception_file, 'w') as f:
         import traceback
         traceback.print_exc(file=f)
@@ -25,6 +20,6 @@ except Exception as e:
     upload_file(
         path_or_fileobj=exception_file,
         repo_id='model-metadata/model-code-exception',
-        path_in_repo='09-07-25/baidu_ERNIE-4.5-21B-A3B-PT_0_exception.txt',
+        path_in_repo='09-07-25/baidu_ERNIE-4.5-21B-A3B-PT_1_exception.txt',
         repo_type='dataset',
     )