Text-to-Speech
Transformers
Safetensors
moss_tts_local
feature-extraction
podcast
multi-speaker
voice-cloning
expressive-speech
custom-code
research
custom_code
Instructions to use laion/Humanness-Voice-Podcast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use laion/Humanness-Voice-Podcast with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="laion/Humanness-Voice-Podcast", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("laion/Humanness-Voice-Podcast", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from laion/Humanness-Voice-Podcast: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/laion/Humanness-Voice-Podcast/resolve/main/tokenizer.json
- Command line
-
hf download hf://laion/Humanness-Voice-Podcast/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/laion/Humanness-Voice-Podcast/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- af1f1c90ee2bd2c354f9a1d91859d7dfe7ac3144bdbd3fefe7e4c5299b4a84bc
- Size of remote file:
- 11.4 MB
- SHA256:
- 06902d1fb775216338802205886a24bc715ccc606bd872a892e3d3c83ca1b9e2
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