Instructions to use microsoft/speecht5_tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/speecht5_tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="microsoft/speecht5_tts")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("microsoft/speecht5_tts") model = AutoModelForTextToSpectrogram.from_pretrained("microsoft/speecht5_tts") - Notebooks
- Google Colab
- Kaggle
fix typos in links under model sources
#32
by bwallace - opened
README.md
CHANGED
|
@@ -37,10 +37,10 @@ Extensive evaluations show the superiority of the proposed SpeechT5 framework on
|
|
| 37 |
|
| 38 |
<!-- Provide the basic links for the model. -->
|
| 39 |
|
| 40 |
-
- **Repository:**
|
| 41 |
-
- **Paper:**
|
| 42 |
-
- **Blog Post:**
|
| 43 |
-
- **Demo:**
|
| 44 |
|
| 45 |
|
| 46 |
# Uses
|
|
|
|
| 37 |
|
| 38 |
<!-- Provide the basic links for the model. -->
|
| 39 |
|
| 40 |
+
- **Repository:** <https://github.com/microsoft/SpeechT5/>
|
| 41 |
+
- **Paper:** <https://arxiv.org/pdf/2110.07205.pdf>
|
| 42 |
+
- **Blog Post:** <https://huggingface.co/blog/speecht5>
|
| 43 |
+
- **Demo:** <https://huggingface.co/spaces/Matthijs/speecht5-tts-demo>
|
| 44 |
|
| 45 |
|
| 46 |
# Uses
|