Upload zai-org_GLM-4.6V-Flash_0.txt with huggingface_hub

zai-org_GLM-4.6V-Flash_0.txt

@@ -0,0 +1,28 @@
+```CODE: 
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+pipe = pipeline("image-text-to-text", model="zai-org/GLM-4.6V-Flash")
+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/zai-org_GLM-4.6V-Flash_0BWXwBb.py", line 26, in <module>
+    pipe = pipeline("image-text-to-text", model="zai-org/GLM-4.6V-Flash")
+  File "/tmp/.cache/uv/environments-v2/ce3ded9120c008ab/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 1197, in pipeline
+    raise e
+  File "/tmp/.cache/uv/environments-v2/ce3ded9120c008ab/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 1190, in pipeline
+    raise TypeError(
+    ...<3 lines>...
+    )
+TypeError: Processor was loaded, but it is not an instance of `ProcessorMixin`. Got type `<class 'transformers.tokenization_utils_fast.PreTrainedTokenizerFast'>` instead. Please check that you specified correct pipeline task for the model and model has processor implemented and saved.