Instructions to use facebook/tts_transformer-fr-cv7_css10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Fairseq
How to use facebook/tts_transformer-fr-cv7_css10 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/tts_transformer-fr-cv7_css10" ) - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -9,6 +9,9 @@ language: fr
|
|
| 9 |
datasets:
|
| 10 |
- common_voice
|
| 11 |
- css10
|
|
|
|
|
|
|
|
|
|
| 12 |
---
|
| 13 |
# tts_transformer-fr-cv7_css10
|
| 14 |
|
|
|
|
| 9 |
datasets:
|
| 10 |
- common_voice
|
| 11 |
- css10
|
| 12 |
+
widget:
|
| 13 |
+
- text: "Bonjour, ceci est un test."
|
| 14 |
+
example_title: "Hello, this is a test run."
|
| 15 |
---
|
| 16 |
# tts_transformer-fr-cv7_css10
|
| 17 |
|