tacotron2-model
A PyPI port of the NVIDIA Tacotron2 model
Source: https://github.com/NVIDIA/tacotron2 (model.py)
A pytorch install is required but is not added to requirements to avoid configuration issues.
The only change from the NVIDIA original is a replacement of hparams with individual arguments. This removes the dependency on tf.contrib.training.HParams (deprecated since tensorflow 1).
Model usage
from tacotron2_model import Tacotron2
model = Tacotron2().cuda()
print(model.eval())
Loss usage
from tacotron2_model import Tacotron2Loss
criterion = Tacotron2Loss()
Collate usage
from tacotron2_model import TextMelCollate
collate_fn = TextMelCollate()
STFT
from tacotron2_model import TacotronSTFT
stft = TacotronSTFT()
Metadata
Release files for tacotron2-model 0.2.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tacotron2-model-0.2.4.tar.gz | 11.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tacotron2_model-0.2.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 30.6 kB
Release files / tacotron2-model-0.2.4.tar.gz
| Download URL | tacotron2-model-0.2.4.tar.gz |
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| Size | 11.8 kB |
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Release files / tacotron2_model-0.2.4-py3-none-any.whl
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| Tags | Python 3 |
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