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 fbank_mfa_gcmvn_stats.npz from Nithu/text-to-speech: direct link, hf CLI and curl.
- Browser
- Download file 1.14 kB
-
https://huggingface.co/Nithu/text-to-speech/resolve/main/fbank_mfa_gcmvn_stats.npz
- Command line
-
hf download hf://Nithu/text-to-speech/fbank_mfa_gcmvn_stats.npz
-
curl -L -o fbank_mfa_gcmvn_stats.npz https://huggingface.co/Nithu/text-to-speech/resolve/main/fbank_mfa_gcmvn_stats.npz
1.14 kB
- Xet hash:
- 46169319d4965046f5e5b5bfcbdca1de99719027d6353be6a203a966a6d0a0c9
- Size of remote file:
- 1.14 kB
- SHA256:
- 6735b35875c2614cee80bf861c6a604aba35671887e6f04b4449dc257bb15d34
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