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sapinsapin
/
speecht5_vc-pld

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
Model card Files Files and versions
xet
Community

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
speecht5_vc-pld
616 MB
Ctrl+K
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  • 1 contributor
History: 8 commits
internetoftim's picture
internetoftim
Add sample sample_1_target_ref.wav
e5b3ddc verified 1 day ago
  • samples
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  • .gitattributes
    1.84 kB
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  • README.md
    1.19 kB
    Upload s2s finetune (pld) 1 day ago
  • added_tokens.json
    40 Bytes
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  • config.json
    2.07 kB
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  • model.safetensors
    615 MB
    xet
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  • processor_config.json
    492 Bytes
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  • spm_char.model
    238 kB
    xet
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  • tokenizer_config.json
    1.4 kB
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  • training_args.bin
    5.33 kB
    xet
    Upload s2s finetune (pld) 1 day ago