Update README.md

README.md

@@ -1,7 +1,10 @@
 ---
-# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
-# Doc / guide: https://huggingface.co/docs/hub/model-cards
-{}
+license: apache-2.0
+tags:
+- music
+- music generation
+- piano
+- classical
 ---
 
 # Model card
@@ -89,9 +92,6 @@ The following hyperparameters were used during training:
 
 ### Environmental impact
 
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). -->
-
 We cannot estimate reliably the amount of CO2eq emitted, as we lack data on the exact power source used during training. However, we can highlight that the cluster used is mostly powered by nuclear energy, which is a low carbon energy source ensuring a reduced direct environmental impact.
 
 ## Citation
@@ -114,5 +114,4 @@ We cannot estimate reliably the amount of CO2eq emitted, as we lack data on the
     publisher = "Association for Computational Linguistics",
     url = "https://arxiv.org/abs/2301.11975",
 }
-```
-
+```