Instructions to use blaise-tk/TITAN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use blaise-tk/TITAN with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("blaise-tk/TITAN", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -10,6 +10,7 @@ tags:
|
|
| 10 |
- applio
|
| 11 |
- titan
|
| 12 |
- pretrained
|
|
|
|
| 13 |
datasets:
|
| 14 |
- blaise-tk/TITAN-Medium
|
| 15 |
pipeline_tag: audio-to-audio
|
|
|
|
| 10 |
- applio
|
| 11 |
- titan
|
| 12 |
- pretrained
|
| 13 |
+
base_model: lj1995/VoiceConversionWebUI
|
| 14 |
datasets:
|
| 15 |
- blaise-tk/TITAN-Medium
|
| 16 |
pipeline_tag: audio-to-audio
|