Instructions to use exploredarkness/speecht5_tts_bt_7274 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use exploredarkness/speecht5_tts_bt_7274 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="exploredarkness/speecht5_tts_bt_7274")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("exploredarkness/speecht5_tts_bt_7274") model = AutoModelForTextToSpectrogram.from_pretrained("exploredarkness/speecht5_tts_bt_7274") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c5e3de7883f8178b68a7cfb4b14ee6beeba963daab07939c1943400eb082e4f
- Size of remote file:
- 5.91 kB
- SHA256:
- 8855c2f46d0c2b38efe0f8abafdd0e8bdd15ed468559fdbb02a65f3fbfc2c9e8
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