Update README.md

README.md

@@ -38,6 +38,8 @@ We have released three models for Scandinavian NLI, of different sizes:
 - [alexandrainst/scandi-nli-base](https://huggingface.co/alexandrainst/scandi-nli-base)
 - [alexandrainst/scandi-nli-small](https://huggingface.co/alexandrainst/scandi-nli-small)
 
+A demo of the large model can be found in [this Hugging Face Space](https://huggingface.co/spaces/alexandrainst/zero-shot-classification) - check it out!
+
 The performance and model size of each of them can be found in the Performance section below.
 
 
@@ -145,6 +147,8 @@ The training split of DanFEVER is generated using [this gist](https://gist.githu
 
 The three languages are sampled equally during training, and they're validated on validation splits of [DanFEVER](https://aclanthology.org/2021.nodalida-main.pdf#page=439) and machine translated versions of [MultiNLI](https://cims.nyu.edu/~sbowman/multinli/) for Swedish and Norwegian Bokmål, sampled equally.
 
+The full training logs can be found in [this Weights and Biases report](https://wandb.ai/saattrupdan/huggingface/reports/ScandiNLI--VmlldzozMDQyOTk1?accessToken=r9crgxqvvigy2hatdjeobzwipz7f3id5vqg8ooksljhfw6wl0hv1b05asypsfj9v).
+
 ### Training hyperparameters
 
 The following hyperparameters were used during training: