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agardener1688/vc-miner-repo
vc-miner-repo is a machine learning model from agardener1688. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Copy everything in this folder into the root of your Hugging Face repository, then push. This layout matches what the canonical Chute wrapper expects (miner.py, chuteconfig.yml, optional vocenceconfig.yaml).
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Updated May 2, 2026
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From the Hugging Face model README
Copy everything in this folder into the root of your Hugging Face repository, then push. This layout matches what the canonical Chute wrapper expects (miner.py, chute_config.yml, optional vocence_config.yaml).
| File | Purpose |
|---|---|
miner.py | Class Miner — engine API; wrapper calls generate_wav(instruction, text). |
chute_config.yml | Image + GPU + pip install for chutes build. |
vocence_config.yaml | Optional settings read by miner.py. |
Note: POST /speak and GET /health are defined on the deploy script (vocence_chute.py) rendered from the Vocence subnet repo template miner_sample/chute_template/vocence_chute.py.jinja2, not in this HF repo.
git rev-parse HEAD).python -m miner_lab render-wrapper with your HF repo id, that SHA, Chutes user, and a chute name containing vocence — see Deploy in the subnet repo: miner_lab/DEPLOY_CHUTES.md.chutes build / chutes deploy on the rendered vocence_chute.py.vocence miner commit with HF repo, SHA, and Chute UUID.vocence (case-insensitive).miner.py: only stdlib + packages listed in chute_config.yml. No importing sibling .py files from this HF repo (subnet sandbox).This miner.py returns silence for a quick green path. Swap in your TTS and extend chute_config.yml pip lines (e.g. torch, transformers). Port patterns from the subnet repo’s miner_lab/ into this single file where needed.