Instructions to use facebook/textless_sm_pl_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Fairseq
How to use facebook/textless_sm_pl_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_pl_en" ) - Notebooks
- Google Colab
- Kaggle
| library_name: fairseq | |
| task: audio-to-audio | |
| tags: | |
| - fairseq | |
| - audio | |
| - audio-to-audio | |
| - speech-to-speech-translation | |
| license: cc-by-nc-4.0 | |
| You can try out the model on the right of the page by uploading or recording. | |
| For model usage, please refer to https://huggingface.co/facebook/textless_sm_cs_en | |