Instructions to use Omarrran/quantized_english_speecht5_finetune-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Omarrran/quantized_english_speecht5_finetune-tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Omarrran/quantized_english_speecht5_finetune-tts")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Omarrran/quantized_english_speecht5_finetune-tts") model = AutoModelForTextToSpectrogram.from_pretrained("Omarrran/quantized_english_speecht5_finetune-tts") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d44622d7ab29fb27308bf721da1c432933d53ef3c93d9612c303cde27ae9a76
- Size of remote file:
- 187 MB
- SHA256:
- 6fd9bf63c0fef00f5b4c0dfd6141830a72635c0d4715fdcb14e4646c1ce3fa8d
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