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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("CONCREE/Adia_TTS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from CONCREE/Adia_TTS: direct link, hf CLI and curl.
- Browser
- Download file 1.8 MB
-
https://huggingface.co/CONCREE/Adia_TTS/resolve/refs%2Fpr%2F1/tokenizer.model
- Command line
-
hf download hf://CONCREE/Adia_TTS@refs/pr/1/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/CONCREE/Adia_TTS/resolve/refs%2Fpr%2F1/tokenizer.model
1.8 MB
- Xet hash:
- d8a3377ffc6462aa4f216dfa196aae6118625994d7a978582255a1983be299ad
- Size of remote file:
- 1.8 MB
- SHA256:
- bc8fa773221597d09cfadb23a2b1bd717488a0481505469ea56d42cb044de9b5
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