Instructions to use or4cl3ai/SoundSlayerAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use or4cl3ai/SoundSlayerAI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="or4cl3ai/SoundSlayerAI")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("or4cl3ai/SoundSlayerAI", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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- teticio/audio-diffusion-256
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- KELONMYOSA/dusha_emotion_audio
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- Ar4ikov/iemocap_audio_text_splitted
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language:
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- en
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metrics:
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- teticio/audio-diffusion-256
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- KELONMYOSA/dusha_emotion_audio
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- Ar4ikov/iemocap_audio_text_splitted
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- flexthink/ljspeech
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- mozilla-foundation/common_voice_13_0
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- facebook/voxpopuli
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language:
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- en
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metrics:
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