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
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README.md
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@@ -59,7 +59,6 @@ ADIA_TTS est un modèle de synthèse vocale (Text-to-Speech) open source en wolo
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Python 3.8 ou supérieur
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PyTorch 2.0 ou supérieur
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CUDA (obligatoire, pour accélération GPU)
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###Installation via pip
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```sh
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pip install git+https://github.com/huggingface/parler-tts.git
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```
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Python 3.8 ou supérieur
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PyTorch 2.0 ou supérieur
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CUDA (obligatoire, pour accélération GPU)
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```sh
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pip install git+https://github.com/huggingface/parler-tts.git
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```
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