Separate out GPU installation Instructions
@@ -32,14 +32,17 @@ Installing the package from pip will automatically install all dependencies,
including PyTorch and spaCy. Make sure you install this package **before** you
install the models. Also note that this package requires **Python 3.6+** and the
latest version of spaCy,
-[v2.1.7](https://github.com/explosion/spaCy/releases/tag/v2.1.7) or above. For
-GPU installation, add your
-[CUDA version in brackets](https://spacy.io/usage/#gpu), e.g.
-`spacy-pytorch-transformers[cuda92]`.
+[v2.1.7](https://github.com/explosion/spaCy/releases/tag/v2.1.7) or above.
```bash
pip install spacy-pytorch-transformers
```
+*GPU installation*:
+
+- Find CUDA version using:
+`$nvcc --version`
+
+- Add your [CUDA version in brackets](https://spacy.io/usage/#gpu), e.g. `spacy-pytorch-transformers[cuda92]` for CUDA9.2 or `spacy-pytorch-transformers[cuda100]` for CUDA10.0
We've also pre-packaged some of the pretrained models as spaCy model packages.
You can either use the `spacy download` command or download the packages from
