Instructions to use CONCREE/Adia_TTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CONCREE/Adia_TTS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="CONCREE/Adia_TTS")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("CONCREE/Adia_TTS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -10,7 +10,7 @@ pipeline_tag: text-to-speech
|
|
| 10 |
|
| 11 |
# Model Card for Model ID
|
| 12 |
|
| 13 |
-
<img src="https://huggingface.co/datasets/
|
| 14 |
|
| 15 |
|
| 16 |
# Adia-TTS
|
|
|
|
| 10 |
|
| 11 |
# Model Card for Model ID
|
| 12 |
|
| 13 |
+
<img src="https://huggingface.co/datasets/Adia-tts/images/resolve/main/thumbnail.png" alt="Parler Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
|
| 14 |
|
| 15 |
|
| 16 |
# Adia-TTS
|