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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@@ -52,7 +52,6 @@ ADIA_TTS est un modèle de synthèse vocale (Text-to-Speech) open source en wolo
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* Temps moyen d'inférence : secondes/phrase (CPU), 20 secondes/phrase (GPU)
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* Consommation mémoire : 3.9 GB (RAM minimale recommandée)
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* Support CUDA : Oui, compatible avec CUDA T4, A100 et version supérieur
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## Installation
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### Prérequis
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* Temps moyen d'inférence : secondes/phrase (CPU), 20 secondes/phrase (GPU)
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* Consommation mémoire : 3.9 GB (RAM minimale recommandée)
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## Installation
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### Prérequis
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