Update README.md

README.md

@@ -9,40 +9,4 @@ language: en
 datasets:
 - common_voice
 ---
-## Example to download TTS Transformer from fairseq
-
-The following should work with fairseq's most up-to-date version in a google colab:
-
-```python
-from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub
-import IPython.display as ipd
-import torch
-
-model_ensemble, cfg, task = load_model_ensemble_and_task_from_hf_hub(
-    "facebook/tts_transformer-en-multi_speaker-cv4", arg_overrides={"vocoder": "griffin_lim", "fp16": False}
-)
-
-def tokenize(text):
-  import g2p_en
-  tokenized = g2p_en.G2p()(text)
-  tokenized = [{",": "sp", ";": "sp"}.get(p, p) for p in tokenized]
-  return " ".join(p for p in tokenized if p.isalnum())
-  
-text = "Hello, this is a test run."
-
-tokenized = tokenize(text)
-sample = {
-    "net_input": {
-        "src_tokens": task.src_dict.encode_line(tokenized).view(1, -1),
-        "src_lengths": torch.Tensor([len(tokenized.split())]).long(),
-        "prev_output_tokens": None
-        },
-    "target_lengths": None,
-    "speaker": None,
-}
-generator = task.build_generator(model_ensemble, cfg)
-generation = generator.generate(model_ensemble[0], sample)
-waveform = generation[0]["waveform"]
-
-ipd.Audio(waveform, rate=task.sr)
-```
+## Example