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 tested-environment.json from tebebe/laya-devops-mlx: direct link, hf CLI and curl.
- Browser
- Download file 236 Bytes
-
https://huggingface.co/tebebe/laya-devops-mlx/resolve/main/tested-environment.json
- Command line
-
hf download hf://tebebe/laya-devops-mlx/tested-environment.json
-
curl -L -o tested-environment.json https://huggingface.co/tebebe/laya-devops-mlx/resolve/main/tested-environment.json
236 Bytes
| { | |
| "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" | |
| } | |
| } | |