Add CO2 emissions to model card

README.md

@@ -209,6 +209,11 @@ metrics:
 - spbleu
 - chrf++
 inference: false
+
+co2_eq_emissions:
+  emissions: 104_310_000
+  source: "No Language Left Behind: Scaling Human-Centered Machine Translation"
+  hardware_used: "NVIDIA A100"
 ---
 
 # NLLB-MoE
@@ -216,7 +221,7 @@ inference: false
 This is the model card of NLLB-MoE variant.
 
 - Information about training algorithms, parameters, fairness constraints or other applied approaches, and features. The exact training algorithm, data and the strategies to handle data imbalances for high and low resource languages that were used to train NLLB-200 is described in the paper.
-- Paper or other resource for more information NLLB Team et al, No Language Left Behind: Scaling Human-Centered Machine Translation, Arxiv, 2022
+- Paper or other resource for more information: [NLLB Team et al, No Language Left Behind: Scaling Human-Centered Machine Translation](https://huggingface.co/papers/2207.04672)
 - License: CC-BY-NC
 - Where to send questions or comments about the model: https://github.com/facebookresearch/fairseq/issues