Instructions to use Audio8/Audio8-TTS-Preview-0.1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Audio8/Audio8-TTS-Preview-0.1b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Audio8/Audio8-TTS-Preview-0.1b", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Audio8/Audio8-TTS-Preview-0.1b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Demo for this model on Spaces
Hi @Audio8 🤗
I'm Apolinario, from the open-source team at Hugging Face. Congrats and thanks for open-sourcing Audio8/Audio8-TTS-Preview-0.1b on the Hub! We were excited about this work and built with an agent an interactive demo app of it on Hugging Face Spaces, running on a free ZeroGPU infrastructure.
Here's a link to the demo: https://huggingface.co/spaces/hugging-apps/audio8-tts-preview-0-1b
We would love to transfer this demo to you or your organization. Would you like this demo to live under your own account or organization? If so just let me know here which username to transfer to, and we'll transfer the Space over to you, we hope it can give your work more visibility, discoverability and allows folks to try it out.
(If you have any questions or just want to chat more about this, you can find me on Twitter, LinkedIn or apolinario @ huggingface.co)
Cheers,
Poli
Hi Poli,
Thank you so much! Really appreciate you (and your agent) putting together another demo for our model. It looks great, and we truly appreciate the support from the Hugging Face team.
Yes, we’d be happy to have it transferred to our Hugging Face organization:
Thanks again for helping make the model more accessible and discoverable. We really appreciate all the work you’ve been doing for the community.
Best,
The AutoArk-AI / Audio8 Team