Text-to-Speech
Transformers
PyTorch
Norwegian
moss_tts_delay
feature-extraction
custom_code
๐ช๐บ Region: EU
Instructions to use NbAiLab/nb-tts-norwegian-voices with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/nb-tts-norwegian-voices with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="NbAiLab/nb-tts-norwegian-voices", trust_remote_code=True, device_map="auto")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NbAiLab/nb-tts-norwegian-voices", trust_remote_code=True, dtype="auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
NbAiLab Norwegian Voices
This repo contains a two-voice Norwegian MOSS-TTS-Local fine-tune.
Training data:
- Dataset:
NbAiLab/nb-tts-voices-2607 - Voices: female (
speaker_id=M) and male (speaker_id=T) - Total prepared data: 10,310 clips, about 19.08 hours
Published checkpoint source: checkpoint-epoch-19
Inference notes:
- Load with
AutoProcessor.from_pretrained(..., trust_remote_code=True). - Load with
AutoModel.from_pretrained(..., trust_remote_code=True). - The checkpoint uses the MOSS Local remote-code files bundled in this repo.
- Voice selection is best done with reference-audio prompting.
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