Instructions to use adbcode/speecht5_voxpopuli_sl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adbcode/speecht5_voxpopuli_sl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="adbcode/speecht5_voxpopuli_sl")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("adbcode/speecht5_voxpopuli_sl") model = AutoModelForTextToSpectrogram.from_pretrained("adbcode/speecht5_voxpopuli_sl") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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base_model: microsoft/speecht5_tts
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tags:
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- generated_from_trainer
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datasets:
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- voxpopuli
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model-index:
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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base_model: microsoft/speecht5_tts
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tags:
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- generated_from_trainer
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- text-to-speech
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datasets:
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- voxpopuli
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model-index:
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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