fix(docs): include onnxruntime in list of common deps
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README.md
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README.md
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@ -45,8 +45,8 @@ This is still an early project and the instructions are a little rough, but it w
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- [Create a virtual environment](#create-a-virtual-environment)
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- [Install pip packages](#install-pip-packages)
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- [For AMD on Windows: Install ORT nightly package](#for-amd-on-windows-install-ort-nightly-package)
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- [For CPU on Linux: Install CPU PyTorch and ONNX](#for-cpu-on-linux-install-cpu-pytorch-and-onnx)
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- [For CPU on Windows: Install CPU PyTorch and ONNX](#for-cpu-on-windows-install-cpu-pytorch-and-onnx)
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- [For CPU on Linux: Install CPU PyTorch](#for-cpu-on-linux-install-cpu-pytorch)
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- [For CPU on Windows: Install CPU PyTorch](#for-cpu-on-windows-install-cpu-pytorch)
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- [For Nvidia everywhere: Install GPU PyTorch and ONNX](#for-nvidia-everywhere-install-gpu-pytorch-and-onnx)
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- [Download and convert models](#download-and-convert-models)
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- [Usage](#usage)
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@ -142,7 +142,7 @@ Install the following packages for AI:
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```shell
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> pip install "numpy>=1.20,<1.24"
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> pip install "protobuf<4,>=3.20.2"
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> pip install accelerate diffusers ftfy onnx spacy scipy transformers
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> pip install accelerate diffusers ftfy onnx onnxruntime spacy scipy transformers
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```
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If you are running on Windows, install the DirectML ONNX runtime as well:
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@ -184,21 +184,20 @@ download the `cp39` package, and so on. Installing with pip will figure out the
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Make sure to include the `--force-reinstall` flag, since it requires some older versions of other packages, and will
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overwrite the versions you currently have installed.
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#### For CPU on Linux: Install CPU PyTorch and ONNX
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#### For CPU on Linux: Install CPU PyTorch
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If you are running with a CPU and no hardware acceleration, install `onnxruntime` and the CPU version of PyTorch:
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```shell
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> pip install onnxruntime
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> pip install torch --extra-index-url https://download.pytorch.org/whl/cpu
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```
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#### For CPU on Windows: Install CPU PyTorch and ONNX
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#### For CPU on Windows: Install CPU PyTorch
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If you are running with a CPU and no hardware acceleration, install `onnxruntime` and the CPU version of PyTorch:
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```shell
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> pip install onnxruntime torch
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> pip install torch
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```
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#### For Nvidia everywhere: Install GPU PyTorch and ONNX
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