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
Adding `safetensors` variant of this model
#39
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:84b171798755efe00cef689160be0e92cba638e92219f95c247bb107c2cacd8b
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size 5310640
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