Instructions to use hf-internal-testing/tiny-random-SpeechT5ForTextToSpeech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-SpeechT5ForTextToSpeech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="hf-internal-testing/tiny-random-SpeechT5ForTextToSpeech")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-SpeechT5ForTextToSpeech") model = AutoModelForTextToSpectrogram.from_pretrained("hf-internal-testing/tiny-random-SpeechT5ForTextToSpeech") - Notebooks
- Google Colab
- Kaggle
Commit ·
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1
Parent(s): 922e748
Update tiny models for SpeechT5ForTextToSpeech
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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