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: 2,187 Bytes
aa73ff9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | """Explicit, user-run upload of the verified release allowlist only."""
import argparse, json, tempfile, shutil
from pathlib import Path
from verify_release import verify
ROOT=Path(__file__).resolve().parent
def main():
parser=argparse.ArgumentParser();parser.add_argument('repo_id',help='Your HF namespace/repository');parser.add_argument('--public',action='store_true',help='Create a public repository; default is private');parser.add_argument('--dry-run',action='store_true');args=parser.parse_args()
if len(args.repo_id.split('/'))!=2 or any(not p or p in ('.','..') for p in args.repo_id.split('/')):parser.error('Expected namespace/repository')
manifest=verify();files=sorted([*manifest,'SHA256SUMS.json'])
if args.dry_run:
print(json.dumps(dict(repo_id=args.repo_id,private=not args.public,files=len(files),bytes=sum((ROOT/p).stat().st_size for p in files),upload_performed=False),indent=2));return
from huggingface_hub import HfApi
api=HfApi() # Reads an existing hf auth login or HF_TOKEN; never prints tokens.
try:
info=api.model_info(args.repo_id)
except Exception as error:
from huggingface_hub.errors import RepositoryNotFoundError
if not isinstance(error,RepositoryNotFoundError):raise
info=None
if info is not None and not info.private and not args.public:
raise SystemExit('Existing repository is public. Use --public explicitly or choose a private repository.')
api.create_repo(repo_id=args.repo_id,repo_type='model',private=not args.public,exist_ok=True)
# Ignore any newly generated API keys, hook state, .venv or caches beside the release.
with tempfile.TemporaryDirectory(prefix='laya-hf-upload-') as temporary:
staging=Path(temporary)
for name in files:
target=staging/name;target.parent.mkdir(parents=True,exist_ok=True);shutil.copy2(ROOT/name,target)
result=api.upload_folder(repo_id=args.repo_id,repo_type='model',folder_path=str(staging),commit_message='Laya DevOps v29 early stage preview: weights, method, paired audit and integration')
print('Uploaded verified release:',result.commit_url)
if __name__=='__main__':main()
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