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 pytorch_model.bin from btoscano/speecht5_tts_minds14: direct link, hf CLI and curl.
- Browser
- Download file 578 MB
-
https://huggingface.co/btoscano/speecht5_tts_minds14/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://btoscano/speecht5_tts_minds14/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/btoscano/speecht5_tts_minds14/resolve/main/pytorch_model.bin
578 MB
- Xet hash:
- 490d6c322824b9109b3b1f3f29c89c52464f4a6fd6a33a167ac390cb77631cd2
- Size of remote file:
- 578 MB
- SHA256:
- a2733690a684e78a89ff6ca391801607d01ecf1236e5e81ee8e2ec2615b94b11
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