Instructions to use Sajid030/text-to-speech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sajid030/text-to-speech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Sajid030/text-to-speech")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Sajid030/text-to-speech") model = AutoModelForTextToSpectrogram.from_pretrained("Sajid030/text-to-speech", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 190 Bytes
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"decoder_start_token_id": 2,
"eos_token_id": 2,
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"transformers_version": "4.35.0.dev0"
}
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