Instructions to use pyp1/VoiceCraft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pyp1/VoiceCraft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="pyp1/VoiceCraft")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pyp1/VoiceCraft", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,9 @@
|
|
| 1 |
---
|
| 2 |
license: cc-by-nc-sa-4.0
|
|
|
|
|
|
|
|
|
|
| 3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
license: cc-by-nc-sa-4.0
|
| 3 |
+
language:
|
| 4 |
+
- en
|
| 5 |
+
pipeline_tag: text-to-speech
|
| 6 |
---
|
| 7 |
+
|
| 8 |
+
Repo: https://github.com/jasonppy/VoiceCraft
|
| 9 |
+
paper: https://jasonppy.github.io/assets/pdfs/VoiceCraft.pdf
|