Instructions to use facebook/textless_sm_et_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Fairseq
How to use facebook/textless_sm_et_en 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_et_en" ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c416e6d948c3cd72f3e23c60744daeac61bfad28d424df99da2ef0038a76115
- Size of remote file:
- 847 MB
- SHA256:
- d1484ad791497ec7eb7f0b9763a84a1a1f8434a252f3eb21a67251399bc591ec
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.