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Upload google_translategemma-12b-it_1.txt with huggingface_hub

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  1. google_translategemma-12b-it_1.txt +8 -8
google_translategemma-12b-it_1.txt CHANGED
@@ -17,7 +17,7 @@ pipe(text=messages)
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  ERROR:
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  Traceback (most recent call last):
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- File "/tmp/google_translategemma-12b-it_1SY5AcU.py", line 26, in <module>
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  pipe = pipeline("image-text-to-text", model="google/translategemma-12b-it")
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  File "/tmp/.cache/uv/environments-v2/b56b4359def432d5/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 1229, in pipeline
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  return pipeline_class(model=model, framework=framework, task=task, **kwargs)
@@ -30,22 +30,22 @@ Traceback (most recent call last):
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  File "/tmp/.cache/uv/environments-v2/b56b4359def432d5/lib/python3.13/site-packages/transformers/modeling_utils.py", line 4343, in to
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  return super().to(*args, **kwargs)
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  ~~~~~~~~~~^^^^^^^^^^^^^^^^^
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- File "/tmp/.cache/uv/environments-v2/b56b4359def432d5/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1371, in to
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  return self._apply(convert)
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  ~~~~~~~~~~~^^^^^^^^^
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- File "/tmp/.cache/uv/environments-v2/b56b4359def432d5/lib/python3.13/site-packages/torch/nn/modules/module.py", line 930, in _apply
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  module._apply(fn)
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  ~~~~~~~~~~~~~^^^^
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- File "/tmp/.cache/uv/environments-v2/b56b4359def432d5/lib/python3.13/site-packages/torch/nn/modules/module.py", line 930, in _apply
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  module._apply(fn)
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  ~~~~~~~~~~~~~^^^^
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- File "/tmp/.cache/uv/environments-v2/b56b4359def432d5/lib/python3.13/site-packages/torch/nn/modules/module.py", line 930, in _apply
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  module._apply(fn)
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  ~~~~~~~~~~~~~^^^^
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  [Previous line repeated 3 more times]
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- File "/tmp/.cache/uv/environments-v2/b56b4359def432d5/lib/python3.13/site-packages/torch/nn/modules/module.py", line 957, in _apply
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  param_applied = fn(param)
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- File "/tmp/.cache/uv/environments-v2/b56b4359def432d5/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1357, in convert
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  return t.to(
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  ~~~~^
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  device,
@@ -56,4 +56,4 @@ Traceback (most recent call last):
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  ^^^^^^^^^^^^^
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  )
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  ^
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- torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 114.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 78.69 MiB is free. Process 65430 has 22.22 GiB memory in use. Of the allocated memory 21.75 GiB is allocated by PyTorch, and 233.66 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
 
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  ERROR:
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  Traceback (most recent call last):
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+ File "/tmp/google_translategemma-12b-it_1bGolEG.py", line 26, in <module>
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  pipe = pipeline("image-text-to-text", model="google/translategemma-12b-it")
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  File "/tmp/.cache/uv/environments-v2/b56b4359def432d5/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 1229, in pipeline
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  return pipeline_class(model=model, framework=framework, task=task, **kwargs)
 
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  File "/tmp/.cache/uv/environments-v2/b56b4359def432d5/lib/python3.13/site-packages/transformers/modeling_utils.py", line 4343, in to
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  return super().to(*args, **kwargs)
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  ~~~~~~~~~~^^^^^^^^^^^^^^^^^
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+ File "/tmp/.cache/uv/environments-v2/b56b4359def432d5/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1381, in to
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  return self._apply(convert)
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  ~~~~~~~~~~~^^^^^^^^^
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+ File "/tmp/.cache/uv/environments-v2/b56b4359def432d5/lib/python3.13/site-packages/torch/nn/modules/module.py", line 933, in _apply
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  module._apply(fn)
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  ~~~~~~~~~~~~~^^^^
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+ File "/tmp/.cache/uv/environments-v2/b56b4359def432d5/lib/python3.13/site-packages/torch/nn/modules/module.py", line 933, in _apply
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  module._apply(fn)
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  ~~~~~~~~~~~~~^^^^
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+ File "/tmp/.cache/uv/environments-v2/b56b4359def432d5/lib/python3.13/site-packages/torch/nn/modules/module.py", line 933, in _apply
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  module._apply(fn)
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  ~~~~~~~~~~~~~^^^^
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  [Previous line repeated 3 more times]
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+ File "/tmp/.cache/uv/environments-v2/b56b4359def432d5/lib/python3.13/site-packages/torch/nn/modules/module.py", line 964, in _apply
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  param_applied = fn(param)
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+ File "/tmp/.cache/uv/environments-v2/b56b4359def432d5/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1367, in convert
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  return t.to(
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  ~~~~^
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  device,
 
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  ^^^^^^^^^^^^^
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  )
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  ^
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+ torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 114.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 78.69 MiB is free. Process 70173 has 22.22 GiB memory in use. Of the allocated memory 21.75 GiB is allocated by PyTorch, and 233.66 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)