Audio-to-Audio
Moshi
Safetensors
Hindi
speech-to-speech
hindi
conversational-ai
audio
full-duplex
duplex-dialogue
indian-languages
Instructions to use JoshTalksAI/Human-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Moshi
How to use JoshTalksAI/Human-1 with Moshi:
# pip install moshi # Run the interactive web server python -m moshi.server --hf-repo "JoshTalksAI/Human-1" # 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("JoshTalksAI/Human-1") # 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
Changed Year to 2026
Browse files
README.md
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## Citation
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```bibtex
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@article{
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title = {A Full-Duplex Conversational Modeling Framework in Hindi using Real-World Conversations},
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author = {Bhaskar Singh and Shobhit Bhanga and Pranav},
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year = {
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institution = {JoshTalks}
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}
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```
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## Citation
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```bibtex
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@article{hindimoshi2026,
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title = {A Full-Duplex Conversational Modeling Framework in Hindi using Real-World Conversations},
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author = {Bhaskar Singh and Shobhit Bhanga and Pranav},
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year = {2026},
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institution = {JoshTalks}
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}
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```
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