Instructions to use facebook/tts_transformer-fr-cv7_css10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Fairseq
How to use facebook/tts_transformer-fr-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-fr-cv7_css10" ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3591217cc0df2738151bc9f0ac68eefe43d05ca76ab6c50ae78b358451245a4
- Size of remote file:
- 1.19 GB
- SHA256:
- 1c099ab690dfb0a018e6fb55f11dc83e1d8e25fe0bb7140810cd91501e5d141f
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