Update README.md

README.md

@@ -102,6 +102,31 @@ sf.write("parler_tts_japanese_out.wav", audio_arr, model.config.sampling_rate)
 
 ### 🎯 特定の話者を指定する方法
 
+```python
+import torch
+from parler_tts import ParlerTTSForConditionalGeneration
+from transformers import AutoTokenizer
+import soundfile as sf
+from rubyinserter import add_ruby
+
+device = "cuda:0" if torch.cuda.is_available() else "cpu"
+
+model = ParlerTTSForConditionalGeneration.from_pretrained("2121-8/japanese-parler-tts-mini").to(device)
+prompt_tokenizer = AutoTokenizer.from_pretrained("2121-8/japanese-parler-tts-mini", subfolder="prompt_tokenizer")
+description_tokenizer = AutoTokenizer.from_pretrained("2121-8/japanese-parler-tts-mini", subfolder="description_tokenizer")
+
+prompt = "こんにちは、今日はどのようにお過ごしですか？"
+description = "JSUT speaker with a slightly high-pitched voice delivers her words at a moderate speed with a quite monotone tone in a confined environment, resulting in a quite clear audio recording."
+
+
+prompt = add_ruby(prompt)
+input_ids = description_tokenizer(description, return_tensors="pt").input_ids.to(device)
+prompt_input_ids = prompt_tokenizer(prompt, return_tensors="pt").input_ids.to(device)
+
+generation = model.generate(input_ids=input_ids, prompt_input_ids=prompt_input_ids)
+audio_arr = generation.cpu().numpy().squeeze()
+sf.write("parler_tts_japanese_out.wav", audio_arr, model.config.sampling_rate)
+```
 
 
 ---