Text Classification
MLX
Safetensors
Laya
Polish
English
devops
decision-model
apple-silicon
experimental
synthetic-data
claude-code
litellm
Instructions to use tebebe/laya-devops-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use tebebe/laya-devops-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download tebebe/laya-devops-mlx --local-dir laya-devops-mlx
- Laya
How to use tebebe/laya-devops-mlx with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 697 Bytes
aa73ff9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | """Verify only release files listed in SHA256SUMS.json; no inference/upload."""
import hashlib, json
from pathlib import Path
ROOT=Path(__file__).resolve().parent
def verify():
manifest=json.loads((ROOT/'SHA256SUMS.json').read_text())
for name,expected in manifest.items():
path=(ROOT/name).resolve()
if not path.is_relative_to(ROOT):raise ValueError('Invalid release path')
with path.open('rb') as stream:actual=hashlib.file_digest(stream,'sha256').hexdigest()
if actual!=expected:raise ValueError('Checksum mismatch: '+name)
print('Verified',len(manifest),'release files; no inference or upload.')
return manifest
if __name__=='__main__':verify()
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