Tabular Classification
PyTorch
LiteRT
TF-Keras
ONNX
LiteRT
industrial
edge-ai
tensorflow
synthetic-data
Instructions to use sankalpsthakur/forge-tiny-drift-multiruntime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use sankalpsthakur/forge-tiny-drift-multiruntime with LiteRT:
# 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
| [build-system] | |
| requires = ["setuptools>=68"] | |
| build-backend = "setuptools.build_meta" | |
| [project] | |
| name = "forge-industrial-agent-lab" | |
| version = "0.2.0" | |
| description = "Plant-safe multi-agent, PLC and edge time-series reference for Hugging Face Spaces" | |
| readme = "README.md" | |
| requires-python = ">=3.10" | |
| license = {text = "Apache-2.0"} | |
| authors = [{name = "Forge contributors"}] | |
| dependencies = ["cryptography>=45", "numpy>=2,<3"] | |
| [project.optional-dependencies] | |
| demo = ["gradio>=5,<7"] | |
| agents = ["smolagents>=1.20"] | |
| edge = ["fastapi>=0.115", "uvicorn>=0.34"] | |
| model-export = [ | |
| "ai-edge-litert>=2.1", | |
| "numpy==2.5.1", | |
| "torch==2.13.0", | |
| "onnx>=1.22", | |
| "onnxscript>=0.5", | |
| "onnxruntime>=1.28", | |
| "tensorflow-cpu>=2.21", | |
| ] | |
| test = ["pytest>=8", "httpx2>=2.9"] | |
| [tool.pytest.ini_options] | |
| pythonpath = ["src"] | |
| testpaths = ["tests"] | |
| [tool.setuptools.packages.find] | |
| where = ["src"] | |
| [tool.ruff] | |
| line-length = 100 | |
| exclude = [".venv", "upstream"] | |
| [tool.ruff.lint] | |
| select = ["B", "E", "F", "I", "RUF", "UP"] | |