Upload tencent_HunyuanOCR_0.txt with huggingface_hub

tencent_HunyuanOCR_0.txt

@@ -0,0 +1,42 @@
+```CODE: 
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+pipe = pipeline("image-text-to-text", model="tencent/HunyuanOCR")
+messages = [
+    {
+        "role": "user",
+        "content": [
+            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
+            {"type": "text", "text": "What animal is on the candy?"}
+        ]
+    },
+]
+pipe(text=messages)
+```
+
+ERROR: 
+Traceback (most recent call last):
+  File "/tmp/.cache/uv/environments-v2/cb3dfffd924b203e/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 1360, in from_pretrained
+    config_class = CONFIG_MAPPING[config_dict["model_type"]]
+                   ~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/cb3dfffd924b203e/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 1048, in __getitem__
+    raise KeyError(key)
+KeyError: 'hunyuan_vl'
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/tmp/tencent_HunyuanOCR_0d0B5PL.py", line 26, in <module>
+    pipe = pipeline("image-text-to-text", model="tencent/HunyuanOCR")
+  File "/tmp/.cache/uv/environments-v2/cb3dfffd924b203e/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 922, in pipeline
+    config = AutoConfig.from_pretrained(
+        model, _from_pipeline=task, code_revision=code_revision, **hub_kwargs, **model_kwargs
+    )
+  File "/tmp/.cache/uv/environments-v2/cb3dfffd924b203e/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 1362, in from_pretrained
+    raise ValueError(
+    ...<8 lines>...
+    )
+ValueError: The checkpoint you are trying to load has model type `hunyuan_vl` 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 This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.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`