Upload google_translategemma-12b-it_1.txt with huggingface_hub
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google_translategemma-12b-it_1.txt
CHANGED
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@@ -17,17 +17,17 @@ 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-
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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
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return pipeline_class(model=model,
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File "/tmp/.cache/uv/environments-v2/b56b4359def432d5/lib/python3.13/site-packages/transformers/pipelines/image_text_to_text.py", line
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super().__init__(*args, **kwargs)
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~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
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File "/tmp/.cache/uv/environments-v2/b56b4359def432d5/lib/python3.13/site-packages/transformers/pipelines/base.py", line
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self.model.to(self.device)
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~~~~~~~~~~~~~^^^^^^^^^^^^^
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File "/tmp/.cache/uv/environments-v2/b56b4359def432d5/lib/python3.13/site-packages/transformers/modeling_utils.py", line
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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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@@ -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
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ERROR:
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Traceback (most recent call last):
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File "/tmp/google_translategemma-12b-it_1n974lG.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 1028, in pipeline
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return pipeline_class(model=model, task=task, **kwargs)
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File "/tmp/.cache/uv/environments-v2/b56b4359def432d5/lib/python3.13/site-packages/transformers/pipelines/image_text_to_text.py", line 127, in __init__
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super().__init__(*args, **kwargs)
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~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
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File "/tmp/.cache/uv/environments-v2/b56b4359def432d5/lib/python3.13/site-packages/transformers/pipelines/base.py", line 861, in __init__
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self.model.to(self.device)
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~~~~~~~~~~~~~^^^^^^^^^^^^^
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File "/tmp/.cache/uv/environments-v2/b56b4359def432d5/lib/python3.13/site-packages/transformers/modeling_utils.py", line 3587, 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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^^^^^^^^^^^^^
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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 189073 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)
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