Refresh model card and examples

inference.py

@@ -45,7 +45,7 @@ def load_acoustic(path: Path, device: torch.device) -> tuple[MicroFastSpeech, di
     model.load_state_dict(ckpt["model"])
     model.eval()
     params = int(ckpt.get("params") or sum(p.numel() for p in model.parameters()))
-    return model, ckpt.get("speakers") or {"qwen3_mark": 0}, params
+    return model, ckpt.get("speakers") or {"mark": 0}, params
 
 
 def load_vocoder(path: Path, device: torch.device) -> tuple[HifiGanGenerator, int]:
@@ -91,7 +91,7 @@ def synthesize(
     phone = phone.unsqueeze(0).to(device)
     tone = tone.unsqueeze(0).to(device)
     lang = lang.unsqueeze(0).to(device)
-    speaker = torch.LongTensor([int(speakers.get("qwen3_mark", 0))]).to(device)
+    speaker = torch.LongTensor([int(speakers.get("mark", next(iter(speakers.values()), 0)))]).to(device)
     mel = acoustic.infer(
         phone,
         tone,