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: 838 Bytes
aa73ff9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | # Append to your existing configuration. Supply the Mac address and backend key.
model_list:
- model_name: laya-devops-decisions
litellm_params:
model: openai/laya-devops-permissions
api_base: http://<MAC_PRIVATE_IP>:8765/v1
api_key: os.environ/LAYA_LOCAL_API_KEY
timeout: 60
model_info:
mode: evaluation
disable_background_health_check: true
description: "Laya DevOps V29 early stage classifier, fixed permission question."
- model_name: laya-devops-permissions
litellm_params:
model: openai/laya-devops-permissions
api_base: http://<MAC_PRIVATE_IP>:8765/v1
api_key: os.environ/LAYA_LOCAL_API_KEY
timeout: 60
model_info:
mode: chat
disable_background_health_check: true
description: "JSON classification, not a generative chat LLM."
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