Audio-to-Audio
Transformers
Safetensors
multilingual
speecht5
philippines
philippine-languages
voice-conversion
speech-to-speech
bcl
ceb
eng
fil
hil
ilo
pag
pam
tsg
war
Instructions to use sapinsapin/speecht5_vc-pld with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sapinsapin/speecht5_vc-pld with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, SpeechT5ForSpeechToSpeechWithLoss processor = AutoProcessor.from_pretrained("sapinsapin/speecht5_vc-pld") model = SpeechT5ForSpeechToSpeechWithLoss.from_pretrained("sapinsapin/speecht5_vc-pld", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download samples/sample_0_src.wav from sapinsapin/speecht5_vc-pld: direct link, hf CLI and curl.
- Browser
- Download file 236 kB
-
https://huggingface.co/sapinsapin/speecht5_vc-pld/resolve/main/samples/sample_0_src.wav
- Command line
-
hf download hf://sapinsapin/speecht5_vc-pld/samples/sample_0_src.wav
-
curl -L -o sample_0_src.wav https://huggingface.co/sapinsapin/speecht5_vc-pld/resolve/main/samples/sample_0_src.wav
236 kB
- Xet hash:
- 76980a85de2cd2c97e01d023371725612d4e0b5986496bdc65fb4b5b366c28d0
- Size of remote file:
- 236 kB
- SHA256:
- 9115ed5d9dd68cd96e1dab5cce854f4e971381ed299a88c562c8c4ebcbfb9429
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