added conformer tiny ctc

app.py

@@ -137,6 +137,14 @@ open_source = [
         'Fleurs MY-MS CER': 0.032894184549728075,
         'Fleurs MY-MS WER': 0.1026977414887425,
     },
+    {
+        'model': 'mesolitica/conformer-tiny-ctc + mesolitica/kenlm-pseudolabel-whisper-large-v3',
+        'model size FP16 (MB)': 7.9,
+        'Malaya-Speech test CER': 0.0612581761581601,
+        'Malaya-Speech test WER': 0.21302693966628394,
+        'Fleurs MY-MS CER': 0.07573301800412188,
+        'Fleurs MY-MS WER': 0.2527434609577528,
+    },
 ]
 
 data = pd.DataFrame(open_source)