Upload zai-org_AutoGLM-Phone-9B-Multilingual_0.txt with huggingface_hub

zai-org_AutoGLM-Phone-9B-Multilingual_0.txt

@@ -0,0 +1,151 @@
+```CODE: 
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+pipe = pipeline("image-text-to-text", model="zai-org/AutoGLM-Phone-9B-Multilingual")
+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-v2/9da7231b583fbadc/lib/python3.13/site-packages/transformers/utils/generic.py", line 1079, in wrapper
+    outputs = func(self, *args, **kwargs_without_recordable)
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/transformers/models/glm4v/modeling_glm4v.py", line 858, in forward
+    layer_outputs = decoder_layer(
+        hidden_states,
+    ...<5 lines>...
+        **kwargs,
+    )
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/transformers/modeling_layers.py", line 94, in __call__
+    return super().__call__(*args, **kwargs)
+           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/transformers/models/glm4v/modeling_glm4v.py", line 611, in forward
+    hidden_states, _ = self.self_attn(
+                       ~~~~~~~~~~~~~~^
+        hidden_states=hidden_states,
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+    ...<7 lines>...
+        **kwargs,
+        ^^^^^^^^^
+    )
+    ^
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/transformers/models/glm4v/modeling_glm4v.py", line 538, in forward
+    query_states, key_states, cos, sin, self.rope_scaling["mrope_section"]
+                                        ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+TypeError: 'NoneType' object is not subscriptable
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/tmp/zai-org_AutoGLM-Phone-9B-Multilingual_0gOWvqY.py", line 36, in <module>
+    pipe(text=messages)
+    ~~~~^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/transformers/pipelines/image_text_to_text.py", line 346, in __call__
+    return super().__call__(Chat(text, images), **kwargs)
+           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/transformers/pipelines/base.py", line 1467, in __call__
+    return self.run_single(inputs, preprocess_params, forward_params, postprocess_params)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/transformers/pipelines/base.py", line 1474, in run_single
+    model_outputs = self.forward(model_inputs, **forward_params)
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/transformers/pipelines/base.py", line 1374, in forward
+    model_outputs = self._forward(model_inputs, **forward_params)
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/transformers/pipelines/image_text_to_text.py", line 437, in _forward
+    generated_sequence = self.model.generate(**model_inputs, **generate_kwargs)
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
+    return func(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/transformers/generation/utils.py", line 2564, in generate
+    result = decoding_method(
+        self,
+    ...<5 lines>...
+        **model_kwargs,
+    )
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/transformers/generation/utils.py", line 2784, in _sample
+    outputs = self(**model_inputs, return_dict=True)
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/transformers/utils/generic.py", line 918, in wrapper
+    output = func(self, *args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/transformers/models/glm4v/modeling_glm4v.py", line 1418, in forward
+    outputs = self.model(
+        input_ids=input_ids,
+    ...<9 lines>...
+        **kwargs,
+    )
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/transformers/utils/generic.py", line 918, in wrapper
+    output = func(self, *args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/transformers/models/glm4v/modeling_glm4v.py", line 1267, in forward
+    outputs = self.language_model(
+        input_ids=None,
+    ...<5 lines>...
+        **kwargs,
+    )
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/transformers/utils/generic.py", line 1081, in wrapper
+    raise original_exception
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/transformers/utils/generic.py", line 1072, in wrapper
+    outputs = func(self, *args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/transformers/models/glm4v/modeling_glm4v.py", line 858, in forward
+    layer_outputs = decoder_layer(
+        hidden_states,
+    ...<5 lines>...
+        **kwargs,
+    )
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/transformers/modeling_layers.py", line 94, in __call__
+    return super().__call__(*args, **kwargs)
+           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/transformers/models/glm4v/modeling_glm4v.py", line 611, in forward
+    hidden_states, _ = self.self_attn(
+                       ~~~~~~~~~~~~~~^
+        hidden_states=hidden_states,
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+    ...<7 lines>...
+        **kwargs,
+        ^^^^^^^^^
+    )
+    ^
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/9da7231b583fbadc/lib/python3.13/site-packages/transformers/models/glm4v/modeling_glm4v.py", line 538, in forward
+    query_states, key_states, cos, sin, self.rope_scaling["mrope_section"]
+                                        ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+TypeError: 'NoneType' object is not subscriptable