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Tet9/vocence-Tet
vocence-Tet is a machine learning model from Tet9. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This folder is a reference layout for the Hugging Face repo miners must push. All content is mock.
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Updated Mar 27, 2026
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From the Hugging Face model README
This folder is a reference layout for the Hugging Face repo miners must push. All content is mock.
| File | Description |
|---|---|
miner.py | PromptTTS engine: class Miner, __init__(path_hf_repo: Path), warmup(), generate_wav(instruction, text) → (waveform, sample_rate). |
chute_config.yml | Chute/Image/NodeSelector (base image, pip, GPU). Used at build time. |
Optional: vocence_config.yaml (sample_rate, limits) — read by your engine if present.
miner.py and model artifacts) to a HF repo.VOCENCE_REPO, VOCENCE_REVISION, VOCENCE_CHUTES_USER, and chute name (VOCENCE_CHUTE_ID in the template). The chute name must contain "vocence" (case-insensitive) for owner validation; the chute_id you commit on chain is a UUID from Chutes.chutes build <module>:chute --local or --wait.chutes deploy <module>:chute --accept-fee.The owner (not validators) verifies your chute: they fetch the deploy script from the Chutes API, mask the four approved variables, hash, and compare to the canonical wrapper. If the script is unchanged except for those variables, you pass. Do not modify the wrapper logic.