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
Upload SpeechT5ForTextToSpeech
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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