Instructions to use OpenMOSS-Team/MOSS-TTSD-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMOSS-Team/MOSS-TTSD-v1.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="OpenMOSS-Team/MOSS-TTSD-v1.0", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenMOSS-Team/MOSS-TTSD-v1.0", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Improve model card: add library_name, pipeline_tag and update paper link
#1
by nielsr HF Staff - opened
This pull request improves the model card for MOSS-TTSD-v1.0 by:
- Adding
library_name: transformersto the metadata (the model is compatible with the library viatrust_remote_code=True). - Setting the
pipeline_tagtotext-to-speechto improve discoverability. - Updating the Arxiv/Paper badge to link to the official publication: MOSS-Audio-Tokenizer: Scaling Audio Tokenizers for Future Audio Foundation Models.
- Adding a BibTeX citation for the paper.
THX for the advise!
Cqy2019 changed pull request status to merged