Instructions to use facebook/textless_sm_ro_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Fairseq
How to use facebook/textless_sm_ro_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_ro_en" ) - Notebooks
- Google Colab
- Kaggle
Download config_multitask.yaml from facebook/textless_sm_ro_en: direct link, hf CLI and curl.
- Browser
- Download file 128 Bytes
-
https://huggingface.co/facebook/textless_sm_ro_en/resolve/main/config_multitask.yaml
- Command line
-
hf download hf://facebook/textless_sm_ro_en/config_multitask.yaml
-
curl -L -o config_multitask.yaml https://huggingface.co/facebook/textless_sm_ro_en/resolve/main/config_multitask.yaml
128 Bytes
| source_unit: | |
| data: N/A | |
| decoder_type: transformer | |
| dict: dict.txt | |
| encoder_layer: 6 | |
| loss_weight: 8.0 | |
| target_type: text | |