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@@ -6,21 +6,21 @@ Steps 2 and 3 give you more fine control over which CUDA and matching pytorch ve
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1\. Create a clean virtual environment
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```
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mamba create -n bioencoder python=3.9
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mamba create -n bioencoder python=3.11 #we tested BioeEcoder with Python 3.9 - 3.11
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mamba activate bioencoder
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```
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2\. Install CUDA - e.g.:
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2\. Install the CUDA toolkit (just an example, you can use different versions):
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```
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mamba install cuda-toolkit==12.1*
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mamba install cuda-toolkit==12.6.3
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```
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3\. Install pytorch (check https://pytorch.org/get-started/locally/) - e.g.:
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3\. Install pytorch (needs to match your CUDA toolkit version - check https://pytorch.org/get-started/locally/) - e.g.:
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```
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pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121
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pip install torch torchvision --index-url https://download.pytorch.org/whl/cu126
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```
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4\. Install bioencoder from pypi:
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4\. Install bioencoder:
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````
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pip install bioencoder
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````

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