feat: add example notebooks (#8)

* feat: add nb

* docs: update README

* docs: fix link in example nb

.github/README.md

@@ -1,13 +1,29 @@
+<a href="https://colab.research.google.com/github/SauravMaheshkar/samv2/blob/main/examples/notebooks/samv2_prompted_segmentation_with_wandb_tables.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>
 [![Build and Tests](https://github.com/SauravMaheshkar/samv2/actions/workflows/ci.yml/badge.svg)](https://github.com/SauravMaheshkar/samv2/actions/workflows/ci.yml)
 
+CPU **compatible** fork of the official SAMv2 implementation.
+
+## Features 🚀
+
+* CPU compatible
+* ships with config files
+* Run image and video inference on CPUs
+* [Example notebooks](../examples/notebooks/) showcasing inference using weights and biases.
+
 ## Installation
 
-This is a CPU compatible fork of the official SAMv2 implementation. You can download it from [pypi](https://pypi.org/) using `pip` as follows:
+You can download it from [pypi](https://pypi.org/) using `pip` as follows:
 
 ```bash
 pip install samv2
 ```
 
+or from the repository:
+
+```bash
+pip install git+https://github.com/SauravMaheshkar/samv2.git
+```
+
 ## Usage
 
 After downloading the official weights, you can use the `load_model()` helper method to instantiate a model.
@@ -22,12 +38,6 @@ model = load_model(
 )
 ```
 
-## Features 🚀
-
-* CPU compatible
-* ships with config files
-* Run image and video inference on CPUs
-
 ## Citation
 
 ```bibtex

.pre-commit-config.yaml

@@ -16,3 +16,9 @@ repos:
     rev: 5.13.2
     hooks:
       - id: isort
+  - repo: https://github.com/nbQA-dev/nbQA
+    rev: 1.8.5
+    hooks:
+      - id: nbqa-black
+      - id: nbqa-isort
+        args: [ "--profile=black" ]