Instructions to use Umerpy/speecht5-vocoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Umerpy/speecht5-vocoder with Transformers:
# Load model directly from transformers import SpeechT5HifiGan model = SpeechT5HifiGan.from_pretrained("Umerpy/speecht5-vocoder", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 624 Bytes
d917028 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 | {
"architectures": [
"SpeechT5HifiGan"
],
"dtype": "float32",
"initializer_range": 0.01,
"leaky_relu_slope": 0.1,
"model_in_dim": 80,
"model_type": "hifigan",
"normalize_before": true,
"resblock_dilation_sizes": [
[
1,
3,
5
],
[
1,
3,
5
],
[
1,
3,
5
]
],
"resblock_kernel_sizes": [
3,
7,
11
],
"sampling_rate": 16000,
"transformers_version": "5.0.0",
"upsample_initial_channel": 512,
"upsample_kernel_sizes": [
8,
8,
8,
8
],
"upsample_rates": [
4,
4,
4,
4
]
}
|