diff --git a/website/docs/usage/embeddings-transformers.md b/website/docs/usage/embeddings-transformers.md
index 708cdd8bf..70fa95099 100644
--- a/website/docs/usage/embeddings-transformers.md
+++ b/website/docs/usage/embeddings-transformers.md
@@ -211,23 +211,23 @@ PyTorch as a dependency below, but it may not find the best version for your
 setup.
 
 ```bash
-### Example: Install PyTorch 1.7.1 for CUDA 10.1 with pip
+### Example: Install PyTorch 1.11.0 for CUDA 11.3 with pip
 # See: https://pytorch.org/get-started/locally/
-$ pip install torch==1.7.1+cu101 torchvision==0.8.2+cu101 torchaudio==0.7.2 -f https://download.pytorch.org/whl/torch_stable.html
+$ pip install torch==1.11.0+cu113 torchvision==0.12.0+cu113 torchaudio==0.11.0+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html
 ```
 
 Next, install spaCy with the extras for your CUDA version and transformers. The
-CUDA extra (e.g., `cuda92`, `cuda102`, `cuda111`) installs the correct version
-of [`cupy`](https://docs.cupy.dev/en/stable/install.html#installing-cupy), which
+CUDA extra (e.g., `cuda102`, `cuda113`) installs the correct version of
+[`cupy`](https://docs.cupy.dev/en/stable/install.html#installing-cupy), which
 is just like `numpy`, but for GPU. You may also need to set the `CUDA_PATH`
 environment variable if your CUDA runtime is installed in a non-standard
-location. Putting it all together, if you had installed CUDA 10.2 in
+location. Putting it all together, if you had installed CUDA 11.3 in
 `/opt/nvidia/cuda`, you would run:
 
 ```bash
 ### Installation with CUDA
 $ export CUDA_PATH="/opt/nvidia/cuda"
-$ pip install -U %%SPACY_PKG_NAME[cuda102,transformers]%%SPACY_PKG_FLAGS
+$ pip install -U %%SPACY_PKG_NAME[cuda113,transformers]%%SPACY_PKG_FLAGS
 ```
 
 For [`transformers`](https://huggingface.co/transformers/) v4.0.0+ and models
diff --git a/website/src/widgets/quickstart-install.js b/website/src/widgets/quickstart-install.js
index 1c8ad19da..fbf043c7d 100644
--- a/website/src/widgets/quickstart-install.js
+++ b/website/src/widgets/quickstart-install.js
@@ -214,16 +214,9 @@ const QuickstartInstall = ({ id, title }) => {
                             {nightly ? ` --branch ${DEFAULT_BRANCH}` : ''}
                         </QS>
                         <QS package="source">cd spaCy</QS>
-                        <QS package="source" os="linux">
-                            export PYTHONPATH=`pwd`
-                        </QS>
-                        <QS package="source" os="windows">
-                            set PYTHONPATH=C:\path\to\spaCy
-                        </QS>
                         <QS package="source">pip install -r requirements.txt</QS>
-                        <QS package="source">python setup.py build_ext --inplace</QS>
                         <QS package="source">
-                            pip install {train || hardware == 'gpu' ? `'.[${pipExtras}]'` : '.'}
+                            pip install --no-build-isolation --editable {train || hardware == 'gpu' ? `'.[${pipExtras}]'` : '.'}
                         </QS>
                         <QS config="train" package="conda" comment prompt={false}>
                             # packages only available via pip