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
Update config.yaml
Browse files- config.yaml +2 -2
config.yaml
CHANGED
|
@@ -33,8 +33,8 @@ vocoder:
|
|
| 33 |
type: code_hifigan
|
| 34 |
hub:
|
| 35 |
input_type: fbank80_w_utt_cmvn
|
| 36 |
-
tts_model_id:
|
| 37 |
unit_vocoder: true
|
| 38 |
generation_args:
|
| 39 |
beam: 10
|
| 40 |
-
max_len_a: 1
|
|
|
|
| 33 |
type: code_hifigan
|
| 34 |
hub:
|
| 35 |
input_type: fbank80_w_utt_cmvn
|
| 36 |
+
tts_model_id: facebookresearch/fairseq:ust:unit_hifigan_mhubert_vp_en_es_fr_it3_400k_layer11_km1000_es_css10
|
| 37 |
unit_vocoder: true
|
| 38 |
generation_args:
|
| 39 |
beam: 10
|
| 40 |
+
max_len_a: 1
|