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:
# 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
- Xet hash:
- 76980a85de2cd2c97e01d023371725612d4e0b5986496bdc65fb4b5b366c28d0
- Size of remote file:
- 236 kB
- SHA256:
- 9115ed5d9dd68cd96e1dab5cce854f4e971381ed299a88c562c8c4ebcbfb9429
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