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:
- 2cd809db6544fc495bdac91dbba0f347f0cde9d159035d3f216753c304e2d056
- Size of remote file:
- 159 kB
- SHA256:
- b4332ac31b872ecda787e13a55b974107afa2560bf3c7b4c7c0561174e156033
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