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: 480 Bytes
aa73ff9 | 1 2 3 4 5 6 7 8 9 10 | {
"module": "command_canonicalizer_v2",
"version": "canonical-static-wrappers-v2",
"sha256": "b83935deb999a7ffabeb9216b12421c68a93cc08d4b4eeaa7610e59ff4509d71",
"dependencies": {
"command_normalizer_v2.py": "a3b439f0c6b106dd69d0581666052db0a1f5f76d6c7bc9a68cfe255cf9fa294c"
},
"semantics": "Classification-only canonical view; Python wrapper unwrapping refuses any dollar/backtick occurrence. Original actual command retained. No execution or permission rules."
}
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