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
- Xet hash:
- 4ed5de1f7f3c35bf03af0ddb4e0c0ebf19ef9a86368a1c6b0ef80873370a3c96
- Size of remote file:
- 1.88 GB
- SHA256:
- bea081a5a44a6bf4520c9cb4f3c815f07b5a978826224a55e2ec98ba928c1f00
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