Instructions to use voices/VCTK_British_English_Males with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voices/VCTK_British_English_Males with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="voices/VCTK_British_English_Males")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("voices/VCTK_British_English_Males", device_map="auto") - Notebooks
- Google Colab
- Kaggle
updating config.json for path / project_name
Browse files- config.json +2 -2
config.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"logger_uri": null,
|
| 3 |
-
"project_name": "
|
| 4 |
-
"run_description": "\n
|
| 5 |
"print_step": 50,
|
| 6 |
"plot_step": 100,
|
| 7 |
"model_param_stats": false,
|
|
|
|
| 1 |
{
|
| 2 |
"logger_uri": null,
|
| 3 |
+
"project_name": "VCTK_British_English_Males",
|
| 4 |
+
"run_description": "\n",
|
| 5 |
"print_step": 50,
|
| 6 |
"plot_step": 100,
|
| 7 |
"model_param_stats": false,
|