Instructions to use amphion/TaDiCodec-TTS-MGM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amphion/TaDiCodec-TTS-MGM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="amphion/TaDiCodec-TTS-MGM")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("amphion/TaDiCodec-TTS-MGM", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Improve model card: Add paper title, abstract, and project page
#2
by nielsr HF Staff - opened
This PR enhances the model card by making the paper title a prominent heading, adding the full abstract for comprehensive context, and including an explicit "Project Page" section. These additions improve the discoverability and completeness of the model's documentation for users on the Hugging Face Hub.
All existing metadata (pipeline tag, library name, license, languages, and other tags) remains unchanged as it is already correctly defined. The sample usage code is also preserved, as it is accurately reflected from the GitHub repository.
Hecheng0625 changed pull request status to merged