Upload LGAI-EXAONE_K-EXAONE-236B-A23B_0.txt with huggingface_hub

LGAI-EXAONE_K-EXAONE-236B-A23B_0.txt

@@ -0,0 +1,36 @@
+```CODE: 
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+pipe = pipeline("text-generation", model="LGAI-EXAONE/K-EXAONE-236B-A23B")
+messages = [
+    {"role": "user", "content": "Who are you?"},
+]
+pipe(messages)
+```
+
+ERROR: 
+Traceback (most recent call last):
+  File "/tmp/.cache/uv/environments-v2/70e3935133a397ad/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 1384, in from_pretrained
+    config_class = CONFIG_MAPPING[config_dict["model_type"]]
+                   ~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/70e3935133a397ad/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 1087, in __getitem__
+    raise KeyError(key)
+KeyError: 'exaone_moe'
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/tmp/LGAI-EXAONE_K-EXAONE-236B-A23B_0o7v97A.py", line 26, in <module>
+    pipe = pipeline("text-generation", model="LGAI-EXAONE/K-EXAONE-236B-A23B")
+  File "/tmp/.cache/uv/environments-v2/70e3935133a397ad/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 734, in pipeline
+    config = AutoConfig.from_pretrained(
+        model, _from_pipeline=task, code_revision=code_revision, **hub_kwargs, **model_kwargs
+    )
+  File "/tmp/.cache/uv/environments-v2/70e3935133a397ad/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 1386, in from_pretrained
+    raise ValueError(
+    ...<8 lines>...
+    )
+ValueError: The checkpoint you are trying to load has model type `exaone_moe` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.
+
+You can update Transformers with the command `pip install --upgrade transformers`. If this does not work, and the checkpoint is very new, then there may not be a release version that supports this model yet. In this case, you can get the most up-to-date code by installing Transformers from source with the command `pip install git+https://github.com/huggingface/transformers.git`