Instructions to use facebook/textless_sm_cs_es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Fairseq
How to use facebook/textless_sm_cs_es 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/textless_sm_cs_es" ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03ee5652128e8e6c1f9786b73a2d7f3a88d3aee17e88112652e4e20f1c3014b6
- Size of remote file:
- 847 MB
- SHA256:
- 9ae5c921b80995211b5b5e0b49048ff096123db6c03a21e26c8a64d2b92bca41
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