diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index f25a6bd..dcc5024 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -48,6 +48,21 @@ mkdocs serve
 
 The server will be available at [http://localhost:8000](http://localhost:8000).
 
+## Secret scanning
+This repository uses IBM's [detect-secrets](https://github.com/ibm/detect-secrets) to scan for secrets before the code is pushed to GitHub. Follow installation instructions in their repository: https://github.com/ibm/detect-secrets?tab=readme-ov-file#example-usage
+
+To update the secrets database manually, run:
+```
+detect-secrets scan --update .secrets.baseline
+```
+To audit detected secrets, use:
+```
+detect-secrets audit .secrets.baseline
+```
+If the pre-commit hook raises an error but the audit command succeeds with just `Nothing to audit!` then run `detect-secrets scan --update .secrets.baseline` to perform a full scan and then repeat the audit command.
+
+
+
 ### Pushing Documentation to GitHub Pages
 
 Run the following:
diff --git a/README.md b/README.md
index ac37c85..492a88f 100644
--- a/README.md
+++ b/README.md
@@ -18,9 +18,22 @@ The toolkit features explanation methods, quick start and elaborate example note
 
 3. **Token Highlighter: Inspecting and Mitigating Jailbreak Prompts for Large Language Models**: Explains potential jailbreak threats by highlighting important prompt tokens based on model gradients. [![Read Paper](https://img.shields.io/badge/Read%20Paper-PDF-yellow)](https://arxiv.org/pdf/2412.18171) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/IBM/ICX360/blob/main/examples/th/quick_start.ipynb)
 
+## Install package from PyPI
+To make use of ICX360, simply install ICX360 from your package manager, e.g. pip or uv:
+```
+uv pip install icx360
+```
+Download the spacy models for use in the project
+```
+uv run python -m spacy download en_core_web_sm
+uv run python -m spacy download en_core_web_trf
+```
 
 
-## Prerequisites
+## Install from repo
+
+
+### Prerequisites
 
 The toolkit can be installed locally using the instructions below. Please ensure sufficient resources (such as GPUs) are available for running the methods.
 
@@ -36,7 +49,7 @@ or using pip (use this if in Windows):
 
 ```pip install uv```
 
-## Installation
+### Installation
 
 Once `uv` is installed, in Linux or Mac, clone the repo:
 
@@ -50,6 +63,9 @@ Ensure that you are inside the `icx360` directory (where `README.md` is located)
 uv venv --python 3.12
 source .venv/bin/activate
 uv pip install .
+uv run python -m spacy download en_core_web_sm
+uv run python -m spacy download en_core_web_trf
+
 ```
 
 Or in Windows, run:
@@ -58,6 +74,8 @@ Or in Windows, run:
 uv venv --python 3.12
 .venv/bin/activate
 uv pip install .
+uv run python -m spacy download en_core_web_sm
+uv run python -m spacy download en_core_web_trf
 ```
 
 The package has been tested on `Red Hat Enterprise Linux 9`.
diff --git a/pyproject.toml b/pyproject.toml
index dc62e85..1ca3804 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -27,14 +27,11 @@ dependencies = [
 	"toma",
 	"sentence-transformers",
 	"spacy",
-	"en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.8.0/en_core_web_sm-3.8.0-py3-none-any.whl",
- 	"en-core-web-trf @ https://github.com/explosion/spacy-models/releases/download/en_core_web_trf-3.8.0/en_core_web_trf-3.8.0-py3-none-any.whl",
 	"pytest",
 	"python-dotenv>=1.1.0,<2.0.0",
 	"openai>=1.86.0,<2.0.0",
 	"datasets<4.0.0",
     "accelerate",
-	"detect-secrets @ git+https://github.com/ibm/detect-secrets.git@master#egg=detect-secrets",
 	"pre-commit"
 ]