Update README.md

README.md

@@ -114,7 +114,7 @@ for the case of an HMM with Gaussian emissions. (See [this
 notebook](https://github.com/probml/dynamax/blob/main/docs/notebooks/hmm/gaussian_hmm.ipynb)
 for a runnable version of this code.)
 
-``` {.python}
+```python
 import jax.numpy as jnp
 import jax.random as jr
 import matplotlib.pyplot as plt
@@ -147,7 +147,7 @@ print(post.smoothed_probs.shape) # (1000, 3)
 JAX allows you to easily vectorize these operations with `vmap`.
 For example, you can sample and fit to a batch of emissions as shown below.
 
-``` {.python}
+```python
 from functools import partial
 from jax import vmap