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IOTEverythin
/
roxi-duplex

Audio-to-Audio
Moshi
English
speech-to-speech
full-duplex
spoken-dialogue
conversational-ai
voice-agent
voice-assistant
real-time
indian-english
indian-accent
india
customer-support
call-center
barge-in
mimi
lora
audio
Model card Files Files and versions
xet
Community

Instructions to use IOTEverythin/roxi-duplex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Moshi

    How to use IOTEverythin/roxi-duplex with Moshi:

    # pip install moshi
    # Run the interactive web server
    python -m moshi.server --hf-repo "IOTEverythin/roxi-duplex"
    # Then open https://localhost:8998 in your browser
    # pip install moshi
    import torch
    from moshi.models import loaders
    
    # Load checkpoint info from HuggingFace
    checkpoint = loaders.CheckpointInfo.from_hf_repo("IOTEverythin/roxi-duplex")
    
    # Load the Mimi audio codec
    mimi = checkpoint.get_mimi(device="cuda")
    mimi.set_num_codebooks(8)
    
    # Encode audio (24kHz, mono)
    wav = torch.randn(1, 1, 24000 * 10)  # [batch, channels, samples]
    with torch.no_grad():
        codes = mimi.encode(wav.cuda())
        decoded = mimi.decode(codes)
  • Notebooks
  • Google Colab
  • Kaggle
roxi-duplex
388 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
Joshuant's picture
Joshuant
usage: fetch adapter via hf_hub_download from this repo
8f81618 verified 4 days ago
  • .gitattributes
    1.52 kB
    initial commit 4 days ago
  • README.md
    6.11 kB
    usage: fetch adapter via hf_hub_download from this repo 4 days ago
  • config.json
    1.01 kB
    lora config 4 days ago
  • lora.safetensors
    388 MB
    xet
    roxi-duplex LoRA adapter (rank 64) for kyutai/moshiko-pytorch-bf16 4 days ago
  • train_config.yaml
    550 Bytes
    training config 4 days ago