Text Generation
Transformers
English
Spanish
iot
smart-home
home-assistant
tool-calling
agent
cybersecurity
devops
ollama
inference-pipeline
autonomous-agent
raspberry-pi
qwen3-coder
Instructions to use MrMoz33/tokioai-coder-iot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MrMoz33/tokioai-coder-iot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="MrMoz33/tokioai-coder-iot")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MrMoz33/tokioai-coder-iot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use MrMoz33/tokioai-coder-iot with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "MrMoz33/tokioai-coder-iot" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "MrMoz33/tokioai-coder-iot", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/MrMoz33/tokioai-coder-iot
- SGLang
How to use MrMoz33/tokioai-coder-iot with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "MrMoz33/tokioai-coder-iot" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "MrMoz33/tokioai-coder-iot", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "MrMoz33/tokioai-coder-iot" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "MrMoz33/tokioai-coder-iot", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use MrMoz33/tokioai-coder-iot with Docker Model Runner:
docker model run hf.co/MrMoz33/tokioai-coder-iot
Download setup.py from MrMoz33/tokioai-coder-iot: direct link, hf CLI and curl.
- Browser
- Download file 1.77 kB
-
https://huggingface.co/MrMoz33/tokioai-coder-iot/resolve/main/setup.py
- Command line
-
hf download hf://MrMoz33/tokioai-coder-iot/setup.py
-
curl -L -o setup.py https://huggingface.co/MrMoz33/tokioai-coder-iot/resolve/main/setup.py
1.77 kB
| from setuptools import setup, find_packages | |
| with open("README.md", "r", encoding="utf-8") as f: | |
| long_description = f.read() | |
| setup( | |
| name="tokioai-engine", | |
| version="1.0.0", | |
| description="Transform any small open model into an elite AI agent with tool calling, guided generation, and adaptive memory", | |
| long_description=long_description, | |
| long_description_content_type="text/markdown", | |
| author="TokioAI", | |
| author_email="hello@tokio.ai", | |
| url="https://github.com/TokioAI/tokioai-engine", | |
| project_urls={ | |
| "Bug Reports": "https://github.com/TokioAI/tokioai-engine/issues", | |
| "Source": "https://github.com/TokioAI/tokioai-engine", | |
| }, | |
| packages=find_packages(), | |
| python_requires=">=3.8", | |
| install_requires=[ | |
| "requests>=2.28", | |
| "flask>=2.0", | |
| ], | |
| extras_require={ | |
| "dev": [ | |
| "pytest>=7.0", | |
| "openai>=1.0", | |
| ], | |
| }, | |
| entry_points={ | |
| "console_scripts": [ | |
| "tokioai-engine=engine.server:main", | |
| ], | |
| }, | |
| classifiers=[ | |
| "Development Status :: 4 - Beta", | |
| "Intended Audience :: Developers", | |
| "Intended Audience :: Science/Research", | |
| "Topic :: Scientific/Engineering :: Artificial Intelligence", | |
| "Topic :: Security", | |
| "License :: OSI Approved :: MIT License", | |
| "Programming Language :: Python :: 3", | |
| "Programming Language :: Python :: 3.8", | |
| "Programming Language :: Python :: 3.9", | |
| "Programming Language :: Python :: 3.10", | |
| "Programming Language :: Python :: 3.11", | |
| "Programming Language :: Python :: 3.12", | |
| "Operating System :: OS Independent", | |
| ], | |
| keywords="ai llm inference tool-calling agent security devops ollama", | |
| ) | |