Update README.md

Fix colab paths

README.md

@@ -76,7 +76,7 @@ The first two methods, variance-preserving SDE (VP-SDE) and flow matching (FM),
 
 The models to produce the GIFs are stored in `examples/models` and can be visualized with this notebook: [![notebook](https://img.shields.io/static/v1?label=Run%20in&message=Google%20Colab&color=orange&logo=Google%20Cloud)](https://colab.research.google.com/github/atong01/conditional-flow-matching/blob/master/examples/notebooks/model-comparison-plotting.ipynb).
 
-We also have included an example of unconditional MNIST generation in `examples/notebooks/mnist_example.ipynb` for both deterministic and stochastic generation. [![notebook](https://img.shields.io/static/v1?label=Run%20in&message=Google%20Colab&color=orange&logo=Google%20Cloud)](https://colab.research.google.com/github/atong01/conditional-flow-matching/blob/master/examples/notebooks/mmnist_example.ipynb).
+We also have included an example of unconditional MNIST generation in `examples/notebooks/mnist_example.ipynb` for both deterministic and stochastic generation. [![notebook](https://img.shields.io/static/v1?label=Run%20in&message=Google%20Colab&color=orange&logo=Google%20Cloud)](https://colab.research.google.com/github/atong01/conditional-flow-matching/blob/master/examples/notebooks/mnist_example.ipynb).
 
 ## The torchcfm Package
 
@@ -118,7 +118,7 @@ This repo is extracted from a larger private codebase which loses the original c
 
 ## How to run
 
-Run a simple minimal example here [![Run in Google Colab](https://img.shields.io/static/v1?label=Run%20in&message=Google%20Colab&color=orange&logo=Google%20Cloud)](https://colab.research.google.com/github/atong01/conditional-flow-matching/blob/master/examples/training-8gaussians-to-moons.ipynb). Or install the more efficient code locally with these steps.
+Run a simple minimal example here [![Run in Google Colab](https://img.shields.io/static/v1?label=Run%20in&message=Google%20Colab&color=orange&logo=Google%20Cloud)](https://colab.research.google.com/github/atong01/conditional-flow-matching/blob/master/examples/notebooks/training-8gaussians-to-moons.ipynb). Or install the more efficient code locally with these steps.
 
 Install dependencies