Instructions to use btoscano/speecht5_tts_minds14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use btoscano/speecht5_tts_minds14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="btoscano/speecht5_tts_minds14")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("btoscano/speecht5_tts_minds14") model = AutoModelForTextToSpectrogram.from_pretrained("btoscano/speecht5_tts_minds14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from btoscano/speecht5_tts_minds14: direct link, hf CLI and curl.
- Browser
- Download file 4.22 kB
-
https://huggingface.co/btoscano/speecht5_tts_minds14/resolve/main/training_args.bin
- Command line
-
hf download hf://btoscano/speecht5_tts_minds14/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/btoscano/speecht5_tts_minds14/resolve/main/training_args.bin
4.22 kB
- Xet hash:
- ae25f37e3963754e51072d4ce84fd4a772ca2dc744f0ee56a98d52055018bbd9
- Size of remote file:
- 4.22 kB
- SHA256:
- 30991dca2d87e885f8bc6ef783635b44f8c1d540571da56b8ec225dfc10ec90e
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