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:
- 5c7f3644ab84f8bf2b958ca134ccd3d5a97792168714d1b9b060112b02fbea2b
- Size of remote file:
- 5.33 kB
- SHA256:
- 2abb167471d3c395d6bc91b8f1da9b19a22e92cabbb12902a3620b129cafce17
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