Instructions to use forkjoin-ai/qwen3-tts-12hz-0.6b-customvoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use forkjoin-ai/qwen3-tts-12hz-0.6b-customvoice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="forkjoin-ai/qwen3-tts-12hz-0.6b-customvoice")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("forkjoin-ai/qwen3-tts-12hz-0.6b-customvoice", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6acdd7bb6a9c0f8c281ca046073624ca84e2db9f81dcf6ac4838a9aa5fc41a9d
- Size of remote file:
- 1.81 GB
- SHA256:
- bc3c7e785eb961179c25450d1acff03f839e0002f2f3a5aeb67b5735c0fa2adb
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