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
| { | |
| "model_version": "forge-tiny-drift-v0.1", | |
| "input": { | |
| "name": "telemetry", | |
| "shape": [ | |
| "batch", | |
| 50, | |
| 2 | |
| ], | |
| "dtype": "float32" | |
| }, | |
| "channels": [ | |
| "peak_force_kn", | |
| "part_deviation_mm" | |
| ], | |
| "outputs": [ | |
| "probability" | |
| ], | |
| "runtimes": [ | |
| "numpy", | |
| "pytorch", | |
| "onnxruntime", | |
| "tensorflow", | |
| "litert" | |
| ], | |
| "framework_versions": { | |
| "python": "3.12.13", | |
| "numpy": "2.5.1", | |
| "pytorch": "2.13.0+cu130", | |
| "pytorch_cuda_build": "13.0", | |
| "onnx": "1.22.0", | |
| "onnxruntime": "1.28.0", | |
| "tensorflow": "2.21.0", | |
| "litert": "2.1.6" | |
| }, | |
| "metrics": { | |
| "synthetic_examples": 2048, | |
| "accuracy": 0.987305, | |
| "false_positive_rate": 0.014886, | |
| "false_negative_rate": 0.009934, | |
| "training_seed": 17 | |
| }, | |
| "data": "deterministic synthetic telemetry; no plant data", | |
| "safety": "L0 decision support only; output cannot actuate equipment", | |
| "cuda_validation": "not executed; no GPU or nvcc in the build workspace" | |
| } | |