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:
- c0264ec72873b8c837cc269d90597282a220573a0b571214b9779c14c838a042
- Size of remote file:
- 4.22 kB
- SHA256:
- b2782f1ca3fb32bd3defdd809b17791f7dbdd0f832cdfc1bacb1761a950fcdcf
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