Instructions to use Nithu/text-to-speech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Fairseq
How to use Nithu/text-to-speech with Fairseq:
from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub models, cfg, task = load_model_ensemble_and_task_from_hf_hub( "Nithu/text-to-speech" ) - Notebooks
- Google Colab
- Kaggle
Download config.yaml from Nithu/text-to-speech: direct link, hf CLI and curl.
- Browser
- Download file 612 Bytes
-
https://huggingface.co/Nithu/text-to-speech/resolve/main/config.yaml
- Command line
-
hf download hf://Nithu/text-to-speech/config.yaml
-
curl -L -o config.yaml https://huggingface.co/Nithu/text-to-speech/resolve/main/config.yaml
612 Bytes
| 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 | |
| vocoder: | |
| type: hifigan | |
| config: hifigan.json | |
| checkpoint: hifigan.bin | |
| hub: | |
| phonemizer: g2p |