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README.md

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+## Example to download fastspeech2 from fairseq
+
+Weights are downloaded from:
+
+We still need to git clone this repo first before being able to download it.
+Having `cd`'ed into the repo we can do the following:
+
+```python
+from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf
+
+model = load_model_ensemble_and_task_from_hf("patrickvonplaten/fairseq-fastspeech2")
+```

config.yaml

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+features:
+  energy_max: 3.2244551181793213
+  energy_min: -4.9544901847839355
+  eps: 1.0e-05
+  f_max: 8000
+  f_min: 0
+  hop_len_t: 0.011609977324263039
+  hop_length: 256
+  n_fft: 1024
+  n_mels: 80
+  n_stft: 513
+  pitch_max: 5.733940816898645
+  pitch_min: -4.660287183665281
+  sample_rate: 22050
+  type: spectrogram+melscale+log
+  win_len_t: 0.046439909297052155
+  win_length: 1024
+  window_fn: hann
+global_cmvn:
+  stats_npz_path: fbank_mfa_gcmvn_stats.npz
+transforms:
+  '*':
+  - global_cmvn
+vocab_filename: vocab.txt

pytorch_model.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a48d454fe66939079d0ddb70f1c062ec669f521a7cfadc608968746e312986ab
+size 494816801

run_fast_speech_2.py

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+#!/usr/bin/env python3
+from fairseq.checkpoint_utils import load_model_ensemble_and_task
+
+# model = load_model_ensemble_and_task(["./pytorch_model.pt"], arg_overrides={"config_yaml": "./config.yaml", "data": "./"})
+model = load_model_ensemble_and_task(["./pytorch_model.pt"], arg_overrides={"data": "./"})

vocab.txt

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+AH0 71007
+N 63410
+T 60842
+S 40263
+D 39886
+R 35965
+L 30358
+sp 27584
+IH0 27113
+DH 26584
+K 25851
+IH1 25683
+Z 25387
+EH1 21690
+AE1 21648
+M 21537
+W 18760
+P 18458
+ER0 18446
+V 18169
+IY0 17832
+AH1 16995
+F 15549
+B 14227
+HH 13468
+IY1 12751
+EY1 12141
+AO1 11595
+AA1 10589
+AY1 9624
+UW1 8865
+SH 7449
+OW1 7441
+NG 6705
+G 5472
+ER1 4898
+Y 4548
+JH 4486
+CH 4355
+TH 3980
+AW1 3607
+UH1 2469
+EH2 1881
+spn 1774
+AO0 1357
+OW0 1328
+EY2 1258
+IH2 1251
+AE2 1104
+UW0 1077
+AY2 1062
+AA2 774
+OY1 771
+AO2 622
+ZH 587
+EH0 568
+OW2 557
+EY0 443
+IY2 435
+UW2 431
+AY0 390
+AE0 374
+AH2 316
+AW2 290
+AA0 259
+ER2 136
+UH2 127
+OY2 44
+UH0 36
+AW0 35
+OY0 4