Instructions to use microsoft/speecht5_tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/speecht5_tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="microsoft/speecht5_tts")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("microsoft/speecht5_tts") model = AutoModelForTextToSpectrogram.from_pretrained("microsoft/speecht5_tts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Hi! This PR has a preliminary model card, based on the format we are using as part of our effort to standardisee model cards at Hugging Face. Please see this [doc of an annotated model card](https://huggingface.co/docs/hub/model-card-annotated)bc779c1
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- Update README.md (0e3d927a9c4633bfc5020e635ae915ccb7ce2e0f) Co-authored-by: Sanchit Gandhi <sanchit-gandhi@users.noreply.huggingface.co>6b1b5aa
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