Instructions to use SHENMU007/neunit0425 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit0425 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit0425")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit0425") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit0425") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
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by librarian-bot - opened
README.md
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- generated_from_trainer
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datasets:
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- facebook/voxpopuli
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model-index:
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- name: SpeechT5 TTS Dutch neunit
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results: []
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- generated_from_trainer
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datasets:
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- facebook/voxpopuli
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base_model: microsoft/speecht5_tts
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model-index:
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- name: SpeechT5 TTS Dutch neunit
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results: []
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