neural-amp-modeler

commit ded377ddc835df7b6ab850607a3c913bd7f2ec37
parent 28f9e2e94c2b50101c2a2a24cc0cf8a7693f2267
Author: Steven Atkinson <steven@atkinson.mn>
Date:   Sun, 13 Oct 2024 15:52:03 -0700

Update install instructions to Miniconda (#495)


Diffstat:
M
docs/source/installation.rst
 | 
19
++++++++++++++-----

1 file changed, 14 insertions(+), 5 deletions(-)
diff --git a/docs/source/installation.rst b/docs/source/installation.rst
@@ -3,17 +3,26 @@
 Local Installation
 ==================
 
-It's recommended to use Anaconda to manage your install. Get Anaconda from
-https://www.anaconda.com/download
+Step 1: Get Miniconda
+^^^^^^^^^^^^^^^^^^^^^
 
-If your computer has an nVIDIA GPU, you should install a GPU-compatible version 
-of PyTorch first:
+This is a Python package, and it depends on other packages to work. To manage 
+all this, it's recommended to use Miniconda. Get it from 
+https://docs.anaconda.com/miniconda/
+
+Step 2: Install NAM
+^^^^^^^^^^^^^^^^^^^
+
+Now that we have Miniconda, we can install NAM using it.
+
+(Windows / Linux users) If your computer has an nVIDIA GPU, you should install a
+GPU-compatible version of PyTorch first:
 
 .. code-block:: console
 
    $ conda install -y pytorch pytorch-cuda=12.1 -c pytorch -c nvidia
 
-Next, install NAM using pip:
+Finally, install NAM using pip:
 
 .. code-block:: console