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
model card: link Cohere Labs Community blog post
Browse files
README.md
CHANGED
|
@@ -46,6 +46,8 @@ sample (see Dataset), so the inner-monologue/text stream is supervised alongside
|
|
| 46 |
earlier versions trained audio-only due to a loader bug, disclosed below.
|
| 47 |
|
| 48 |
- **Developed by:** [tiny-aya-translate](https://huggingface.co/tiny-aya-translate)
|
|
|
|
|
|
|
| 49 |
- **Funded by:** Google **TPU Research Cloud (TRC)**
|
| 50 |
- **Model type:** parallel two-stream S2ST (Cohere2 + LoRA → CB0; frozen Moshi depth decoder → CB1–7)
|
| 51 |
- **Languages:** Turkish (`tr`), Hindi (`hi`)
|
|
|
|
| 46 |
earlier versions trained audio-only due to a loader bug, disclosed below.
|
| 47 |
|
| 48 |
- **Developed by:** [tiny-aya-translate](https://huggingface.co/tiny-aya-translate)
|
| 49 |
+
- **Blog post:** [Adapting Moshi for Low-Resource Speech Translation](https://labscommunity.cohere.com/blog/2026/adapting-moshi-low-resource-speech-translation/)
|
| 50 |
+
(Cohere Labs Community — the v0.3 training/infrastructure specifics land in its current revision)
|
| 51 |
- **Funded by:** Google **TPU Research Cloud (TRC)**
|
| 52 |
- **Model type:** parallel two-stream S2ST (Cohere2 + LoRA → CB0; frozen Moshi depth decoder → CB1–7)
|
| 53 |
- **Languages:** Turkish (`tr`), Hindi (`hi`)
|