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
Download input-preprocessor.json from tebebe/laya-devops-mlx: direct link, hf CLI and curl.
- Browser
- Download file 480 Bytes
-
https://huggingface.co/tebebe/laya-devops-mlx/resolve/main/input-preprocessor.json
- Command line
-
hf download hf://tebebe/laya-devops-mlx/input-preprocessor.json
-
curl -L -o input-preprocessor.json https://huggingface.co/tebebe/laya-devops-mlx/resolve/main/input-preprocessor.json
480 Bytes
| { | |
| "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." | |
| } | |