Text-to-Speech
Transformers
PyTorch
Portuguese
moss_tts_nano
feature-extraction
pt-br
moss-tts-nano
iaratts
nonverbal-tags
custom_code
Instructions to use marcosremar2/iaratts-sft-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marcosremar2/iaratts-sft-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="marcosremar2/iaratts-sft-v3", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("marcosremar2/iaratts-sft-v3", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32d1c34bd33bc2187c97f3c26a361c1215cb021623b4b8331810b3cb789d6a95
- Size of remote file:
- 285 MB
- SHA256:
- 3eaabfd3e3c4c82f0dc24ebd86bf842fe4e42284d247cc2a3823d39dfeeb1a73
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