Upload inclusionAI_Ring-mini-2.0_0.txt with huggingface_hub

inclusionAI_Ring-mini-2.0_0.txt

@@ -0,0 +1,41 @@
+Traceback (most recent call last):
+  File "/tmp/inclusionAI_Ring-mini-2.0_0VCPmXc.py", line 13, in <module>
+    pipe = pipeline("text-generation", model="inclusionAI/Ring-mini-2.0", trust_remote_code=True)
+  File "/tmp/.cache/uv/environments-v2/c55f2438beac7672/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 1230, in pipeline
+    return pipeline_class(model=model, framework=framework, task=task, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/c55f2438beac7672/lib/python3.13/site-packages/transformers/pipelines/text_generation.py", line 121, in __init__
+    super().__init__(*args, **kwargs)
+    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/c55f2438beac7672/lib/python3.13/site-packages/transformers/pipelines/base.py", line 1044, in __init__
+    self.model.to(self.device)
+    ~~~~~~~~~~~~~^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/c55f2438beac7672/lib/python3.13/site-packages/transformers/modeling_utils.py", line 4459, in to
+    return super().to(*args, **kwargs)
+           ~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/c55f2438beac7672/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1369, in to
+    return self._apply(convert)
+           ~~~~~~~~~~~^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/c55f2438beac7672/lib/python3.13/site-packages/torch/nn/modules/module.py", line 928, in _apply
+    module._apply(fn)
+    ~~~~~~~~~~~~~^^^^
+  File "/tmp/.cache/uv/environments-v2/c55f2438beac7672/lib/python3.13/site-packages/torch/nn/modules/module.py", line 928, in _apply
+    module._apply(fn)
+    ~~~~~~~~~~~~~^^^^
+  File "/tmp/.cache/uv/environments-v2/c55f2438beac7672/lib/python3.13/site-packages/torch/nn/modules/module.py", line 928, in _apply
+    module._apply(fn)
+    ~~~~~~~~~~~~~^^^^
+  [Previous line repeated 2 more times]
+  File "/tmp/.cache/uv/environments-v2/c55f2438beac7672/lib/python3.13/site-packages/torch/nn/modules/module.py", line 955, in _apply
+    param_applied = fn(param)
+  File "/tmp/.cache/uv/environments-v2/c55f2438beac7672/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1355, in convert
+    return t.to(
+           ~~~~^
+        device,
+        ^^^^^^^
+        dtype if t.is_floating_point() or t.is_complex() else None,
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+        non_blocking,
+        ^^^^^^^^^^^^^
+    )
+    ^
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 4.69 MiB is free. Process 25658 has 22.29 GiB memory in use. Of the allocated memory 22.05 GiB is allocated by PyTorch, and 1.86 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)