link to demo

README.md

@@ -9,11 +9,13 @@ datasets: Fraser/python-lines
 
 A Transformer-VAE made using flax.
 
-It has been trained to interpolate on lines of Python code form the [python-lines dataset](https://huggingface.co/datasets/Fraser/python-lines).
+Try the [demo](https://huggingface.co/spaces/flax-community/t5-vae)!
+
+It has been trained to interpolate on lines of Python code from the [python-lines dataset](https://huggingface.co/datasets/Fraser/python-lines).
 
 Done as part of Huggingface community training ([see forum post](https://discuss.huggingface.co/t/train-a-vae-to-interpolate-on-english-sentences/7548)).
 
-Builds on T5, using an autoencoder to convert it into an MMD-VAE.
+Builds on T5, using an autoencoder to convert it into an MMD-VAE ([more info](http://fras.uk/ml/large%20prior-free%20models/transformer-vae/2020/08/13/Transformers-as-Variational-Autoencoders.html)).
 
 ## How to use from the 🤗/transformers library