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
Add `library_name: transformers` to metadata
#1
by nielsr HF Staff - opened
This PR updates the model card to include the library_name: transformers tag. This ensures that the model is properly recognized as being compatible with the 🤗 Transformers library, enabling the display of an automated code snippet for easier usage and discoverability on the Hugging Face Hub.
LGTM!
Hecheng0625 changed pull request status to merged