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: 236 Bytes
aa73ff9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"platform": "macOS Apple Silicon",
"python": "3.12",
"packages": {
"laya-mlx": "0.2.0",
"mlx": "0.32.2",
"tokenizers": "0.23.2",
"numpy": "2.5.3",
"huggingface-hub": "1.32.0",
"layastudio": "0.1.0"
}
}
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