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: 348 Bytes
aa73ff9 | 1 2 3 4 5 6 7 8 9 10 11 | {
"allow_threshold": 0.95405,
"disable_automatic_allow": false,
"selected_on": "validation_only",
"validation_sha256": "cd8dc2c236da9939bdc4424b3482cc7e9e1e37d67a993cabd8ac07253c6a2cca",
"validation_passed": true,
"criteria_passed": false,
"status": "experimental_until_test_and_audit_pass",
"production_execution_enabled": false
}
|