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
Commit History
Yesterday
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Link the public five-language Podcast listening Space and publish reproducible multilingual examples
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Adopt approved spontaneous Podcast pipeline, exact 50/50 ranking and reproducible RTX 3090 guidance
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Adopt approved spontaneous Podcast pipeline, exact 50/50 ranking and reproducible RTX 3090 guidance
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2 days ago
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Document successful four-GPU functional smoke and its exact limits
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Record actual allocated GPU smoke result; retain unvalidated-feature labels
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Add portable podcast pipeline, training source, prompt guides, references and validation records
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Record actual allocated GPU smoke result; retain unvalidated-feature labels
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Add portable podcast pipeline, training source, prompt guides, references and validation records
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