Update README.md

Author: lhparker1

README.md

@@ -17,25 +17,25 @@ The training and evaluation code requires PyTorch 2.0. Additionally, an up-to-da
 
 ```bash
 # Base install of required utilities
-!apt install python3-dev libcairo2-dev pkg-config
+apt install python3-dev libcairo2-dev pkg-config
 
 # Setting up proper torch version
-!pip install --upgrade pip
-!pip install lightning[extra]==2.3.3 boto3==1.28.17
-!pip install --upgrade pycairo datasets pyarrow
-!pip install --extra-index-url https://pypi.nvidia.com cuml-cu11
-!pip install --extra-index-url https://download.pytorch.org/whl/cu117 torch==2.0.0+cu117
-!pip install torchvision==0.15.0 torchmetrics==0.10.3 dotenv
-!pip install numpy==1.26.4 --force-reinstall
+pip install --upgrade pip
+pip install lightning[extra]==2.3.3 boto3==1.28.17
+pip install --upgrade pycairo datasets pyarrow
+pip install --extra-index-url https://pypi.nvidia.com cuml-cu11
+pip install --extra-index-url https://download.pytorch.org/whl/cu117 torch==2.0.0+cu117
+pip install torchvision==0.15.0 torchmetrics==0.10.3 dotenv
+pip install numpy==1.26.4 --force-reinstall
 
 # Installing DiNOv2
-!pip install omegaconf fvcore iopath
-!pip install --no-deps git+https://github.com/facebookresearch/dinov2.git@2302b6bf46953431b969155307b9bed152754069
+pip install omegaconf fvcore iopath
+pip install --no-deps git+https://github.com/facebookresearch/dinov2.git@2302b6bf46953431b969155307b9bed152754069
 
 # Installing AstroCLIP
-!pip install astropy datasets huggingface_hub jaxtyping wandb networkx pyvis
-!pip uninstall -y transformers
-!pip install --no-deps git+https://github.com/PolymathicAI/AstroCLIP.git
+pip install astropy datasets huggingface_hub jaxtyping wandb networkx pyvis
+pip uninstall -y transformers
+pip install --no-deps git+https://github.com/PolymathicAI/AstroCLIP.git
 ```
 **NOTE** The package provides the three shortcuts: `astroclip_trainer` and `spectrum_trainer`, which link to `astroclip/trainer.py`, and `image_trainer`, which links to `astroclip/astrodino/trainer.py`, as long as it is installed. The shortcuts are defined in the `project.scripts` section of the `pyproject.toml` file.