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minor fixes
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@ -34,6 +34,14 @@ which will give you something like below:
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.. code-block:: bash
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"torch2.3.1-cuda12.1"
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"torch2.3.1-cuda11.8"
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"torch2.2.2-cuda12.1"
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"torch2.2.2-cuda11.8"
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"torch2.2.1-cuda12.1"
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"torch2.2.1-cuda11.8"
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"torch2.2.0-cuda12.1"
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"torch2.2.0-cuda11.8"
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"torch2.1.0-cuda12.1"
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"torch2.1.0-cuda11.8"
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"torch2.0.0-cuda11.7"
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@ -15,8 +15,8 @@ We will show you step by step how to export it to `ncnn`_ and run it with `sherp
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.. caution::
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Please use a more recent version of PyTorch. For instance, ``torch 1.8``
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may ``not`` work.
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``torch > 2.0`` may not work. If you get errors while building pnnx, please switch
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to ``torch < 2.0``.
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1. Download the pre-trained model
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---------------------------------
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@ -15,8 +15,8 @@ We will show you step by step how to export it to `ncnn`_ and run it with `sherp
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.. caution::
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Please use a more recent version of PyTorch. For instance, ``torch 1.8``
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may ``not`` work.
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``torch > 2.0`` may not work. If you get errors while building pnnx, please switch
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to ``torch < 2.0``.
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1. Download the pre-trained model
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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@ -15,8 +15,8 @@ We will show you step by step how to export it to `ncnn`_ and run it with `sherp
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.. caution::
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Please use a more recent version of PyTorch. For instance, ``torch 1.8``
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may ``not`` work.
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``torch > 2.0`` may not work. If you get errors while building pnnx, please switch
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to ``torch < 2.0``.
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1. Download the pre-trained model
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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