Upload lightonai_LightOnOCR-2-1B_0.txt with huggingface_hub

lightonai_LightOnOCR-2-1B_0.txt

@@ -1,109 +1 @@
-```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_07O8H7r.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 283, in __call__
-    return super().__call__(Chat(text), **kwargs)
-           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^
-  File "/tmp/.cache/uv/environments-v2/156a2f51d9a7a48b/lib/python3.13/site-packages/transformers/pipelines/base.py", line 1274, 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 1281, 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 1173, 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 372, 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 2669, 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 2864, in _sample
-    outputs = self._prefill(input_ids, generation_config, model_kwargs)
-  File "/tmp/.cache/uv/environments-v2/156a2f51d9a7a48b/lib/python3.13/site-packages/transformers/generation/utils.py", line 3853, in _prefill
-    return 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 1002, in wrapper
-    outputs = func(self, *args, **kwargs)
-  File "/tmp/.cache/uv/environments-v2/156a2f51d9a7a48b/lib/python3.13/site-packages/transformers/models/mistral3/modeling_mistral3.py", line 446, 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 1002, in wrapper
-    outputs = func(self, *args, **kwargs)
-  File "/tmp/.cache/uv/environments-v2/156a2f51d9a7a48b/lib/python3.13/site-packages/transformers/models/mistral3/modeling_mistral3.py", line 313, in forward
-    image_features = self.get_image_features(
-                     ~~~~~~~~~~~~~~~~~~~~~~~^
-        pixel_values=pixel_values,
-        ^^^^^^^^^^^^^^^^^^^^^^^^^^
-    ...<2 lines>...
-        return_dict=True,
-        ^^^^^^^^^^^^^^^^^
-    ).pooler_output
-    ^
-  File "/tmp/.cache/uv/environments-v2/156a2f51d9a7a48b/lib/python3.13/site-packages/transformers/utils/generic.py", line 1002, in wrapper
-    outputs = func(self, *args, **kwargs)
-  File "/tmp/.cache/uv/environments-v2/156a2f51d9a7a48b/lib/python3.13/site-packages/transformers/models/mistral3/modeling_mistral3.py", line 232, in get_image_features
-    image_outputs = self.vision_tower(
-        pixel_values,
-    ...<3 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 835, 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 496, 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
+Everything was good in lightonai_LightOnOCR-2-1B_0.txt