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Various install docs updates (#10487) 

* Simplify quickstart source install to use only editable pip install

* Update pytorch install instructions to more recent versions
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Adriane Boyd 2022-03-15 11:12:50 +01:00 committed by GitHub
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12
website/docs/usage/embeddings-transformers.md
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@ -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

9
website/src/widgets/quickstart-install.js
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@ -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