Create README.md

README.md

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+---
+license: mit
+datasets:
+- amaai-lab/DisfluencySpeech
+language:
+- en
+pipeline_tag: text-to-speech
+---
+# Usage
+
+```python
+from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub
+from fairseq.models.text_to_speech.hub_interface import TTSHubInterface
+import IPython.display as ipd
+
+models, cfg, task = load_model_ensemble_and_task_from_hf_hub(
+    "amaai-lab/DisfluencySpeech_BenchmarkB",
+    arg_overrides={"vocoder": "hifigan", "fp16": False, "spec-bwd-max-iter": 32}
+)
+model = models[0]
+TTSHubInterface.update_cfg_with_data_cfg(cfg, task.data_cfg)
+generator = task.build_generator(models, cfg)
+
+text = "Well, that's really funny, isn't it? What a strange world we live in."
+
+sample = TTSHubInterface.get_model_input(task, text)
+sample['net_input']['src_tokens'] = sample['net_input']['src_tokens'].cuda()
+sample['net_input']['src_lengths'] = sample['net_input']['src_lengths'].cuda()
+wav, rate = TTSHubInterface.get_prediction(task, model.cuda(), generator, sample)
+
+ipd.Audio(wav.cpu(), rate=rate)
+```