Instructions to use junyinc/LING575-SPR-TTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use junyinc/LING575-SPR-TTS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="junyinc/LING575-SPR-TTS")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("junyinc/LING575-SPR-TTS") model = AutoModelForTextToSpectrogram.from_pretrained("junyinc/LING575-SPR-TTS") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:106c6f79e5123a23365778b612b4049dc9eca6122b6cff609d183882d817c141
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size 585395848
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