Instructions to use DigitalUmuganda/KinyarwandaTTS_female_voice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DigitalUmuganda/KinyarwandaTTS_female_voice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="DigitalUmuganda/KinyarwandaTTS_female_voice")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DigitalUmuganda/KinyarwandaTTS_female_voice", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload speakers.pth with huggingface_hub
Browse files- speakers.pth +3 -0
speakers.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bc979585f1bf11fbc1ea457ecbc5076a8d19cd0744601a2942cad46a1c836c3c
|
| 3 |
+
size 55086511
|