Instructions to use espnet/visinger2-zh-jp-multisinger-svs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/visinger2-zh-jp-multisinger-svs with ESPnet:
unknown model type (must be text-to-speech or automatic-speech-recognition)
- Notebooks
- Google Colab
- Kaggle
Improve model card: Add pipeline tag, license, paper, code and demo links
#1
by nielsr HF Staff - opened
This PR significantly enhances the model card for the espnet/visinger2-zh-jp-multisinger-svs model by:
- Adding the
pipeline_tag: text-to-audioto improve discoverability for users looking for singing voice synthesis models. - Including the
license: mitbased on the explicit license information found in the associated GitHub repository. - Providing direct links to the scientific paper (SingingSDS: A Singing-Capable Spoken Dialogue System for Conversational Roleplay Applications), the project's GitHub repository (https://github.com/SingingSDS/SingingSDS), and the live Hugging Face demo (https://huggingface.co/spaces/espnet/SingingSDS).
- Adding a descriptive title and an overview with a visual element (demo image) for better clarity and engagement.
These additions make the model card more informative and accessible, helping users understand the model's purpose, usage, and context more effectively.
Fhrozen changed pull request status to merged