Instructions to use facebook/tts_transformer-ru-cv7_css10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Fairseq
How to use facebook/tts_transformer-ru-cv7_css10 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( "facebook/tts_transformer-ru-cv7_css10" ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15fc209595fc22232d0c7c1f11783c15a16ab7a227d8809c5bbe20713144ca74
- Size of remote file:
- 55.8 MB
- SHA256:
- 785d0809c4cb96d0e87a4dfeb4c77ff39e1dd95683c4896cc3f5c43dc892f495
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