Audio-to-Audio
PEFT
Safetensors
Moshi
Turkish
Hindi
speech-to-speech-translation
simultaneous-translation
mimi
lora
tpu
turkish
hindi
Eval Results (legacy)
Instructions to use tiny-aya-translate/tr-hi-s2st-v0.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tiny-aya-translate/tr-hi-s2st-v0.3 with PEFT:
Task type is invalid.
- Moshi
How to use tiny-aya-translate/tr-hi-s2st-v0.3 with Moshi:
# pip install moshi # Run the interactive web server python -m moshi.server --hf-repo "tiny-aya-translate/tr-hi-s2st-v0.3" # 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("tiny-aya-translate/tr-hi-s2st-v0.3") # 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
Download checkpoints/step-75000/depth_decoder.pt from tiny-aya-translate/tr-hi-s2st-v0.3: direct link, hf CLI and curl.
- Browser
- Download file 1.43 GB
-
https://huggingface.co/tiny-aya-translate/tr-hi-s2st-v0.3/resolve/ca98e7e6e497476499404c94f88a2cf12ac3c36a/checkpoints/step-75000/depth_decoder.pt
- Command line
-
hf download hf://tiny-aya-translate/tr-hi-s2st-v0.3@ca98e7e6e497476499404c94f88a2cf12ac3c36a/checkpoints/step-75000/depth_decoder.pt
-
curl -L -o depth_decoder.pt https://huggingface.co/tiny-aya-translate/tr-hi-s2st-v0.3/resolve/ca98e7e6e497476499404c94f88a2cf12ac3c36a/checkpoints/step-75000/depth_decoder.pt
1.43 GB
- Xet hash:
- 44fd9976f5a24f8ed5aa4c549d96c2cd5c6660f9a22175f8e185ee56a9210db1
- Size of remote file:
- 1.43 GB
- SHA256:
- 2d58378aa88aad414772ba11447ebb824fe14df552796395e858216ecdf04170
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