Upload lightonai_LightOnOCR-2-1B_0.txt with huggingface_hub

lightonai_LightOnOCR-2-1B_0.txt

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+```CODE: 
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+pipe = pipeline("image-text-to-text", model="lightonai/LightOnOCR-2-1B")
+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/lightonai_LightOnOCR-2-1B_0vNGpic.py", line 36, in <module>
+    pipe(text=messages)
+    ~~~~^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/156a2f51d9a7a48b/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-v2/156a2f51d9a7a48b/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-v2/156a2f51d9a7a48b/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-v2/156a2f51d9a7a48b/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-v2/156a2f51d9a7a48b/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-v2/156a2f51d9a7a48b/lib/python3.13/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context
+    return func(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/156a2f51d9a7a48b/lib/python3.13/site-packages/transformers/generation/utils.py", line 2566, in generate
+    result = decoding_method(
+        self,
+    ...<5 lines>...
+        **model_kwargs,
+    )
+  File "/tmp/.cache/uv/environments-v2/156a2f51d9a7a48b/lib/python3.13/site-packages/transformers/generation/utils.py", line 2786, in _sample
+    outputs = self(**model_inputs, return_dict=True)
+  File "/tmp/.cache/uv/environments-v2/156a2f51d9a7a48b/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/156a2f51d9a7a48b/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/156a2f51d9a7a48b/lib/python3.13/site-packages/transformers/utils/generic.py", line 918, in wrapper
+    output = func(self, *args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/156a2f51d9a7a48b/lib/python3.13/site-packages/transformers/models/mistral3/modeling_mistral3.py", line 469, in forward
+    outputs = self.model(
+        input_ids=input_ids,
+    ...<11 lines>...
+        **kwargs,
+    )
+  File "/tmp/.cache/uv/environments-v2/156a2f51d9a7a48b/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/156a2f51d9a7a48b/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/156a2f51d9a7a48b/lib/python3.13/site-packages/transformers/utils/generic.py", line 918, in wrapper
+    output = func(self, *args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/156a2f51d9a7a48b/lib/python3.13/site-packages/transformers/models/mistral3/modeling_mistral3.py", line 321, in forward
+    image_features = self.get_image_features(
+        pixel_values=pixel_values,
+        vision_feature_layer=vision_feature_layer,
+        image_sizes=image_sizes,
+    )
+  File "/tmp/.cache/uv/environments-v2/156a2f51d9a7a48b/lib/python3.13/site-packages/transformers/models/mistral3/modeling_mistral3.py", line 247, in get_image_features
+    image_outputs = self.vision_tower(pixel_values, image_sizes=image_sizes, output_hidden_states=True, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/156a2f51d9a7a48b/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/156a2f51d9a7a48b/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/156a2f51d9a7a48b/lib/python3.13/site-packages/transformers/utils/generic.py", line 918, in wrapper
+    output = func(self, *args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/156a2f51d9a7a48b/lib/python3.13/site-packages/transformers/models/pixtral/modeling_pixtral.py", line 479, in forward
+    patch_embeds = self.patch_conv(pixel_values)
+  File "/tmp/.cache/uv/environments-v2/156a2f51d9a7a48b/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/156a2f51d9a7a48b/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/156a2f51d9a7a48b/lib/python3.13/site-packages/torch/nn/modules/conv.py", line 553, in forward
+    return self._conv_forward(input, self.weight, self.bias)
+           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/156a2f51d9a7a48b/lib/python3.13/site-packages/torch/nn/modules/conv.py", line 548, in _conv_forward
+    return F.conv2d(
+           ~~~~~~~~^
+        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+    )
+    ^
+RuntimeError: Input type (torch.cuda.FloatTensor) and weight type (CUDABFloat16Type) should be the same