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
| { | |
| "pytorch": { | |
| "max_abs_error_vs_numpy": 5.185604095458984e-06, | |
| "classification_agreement": 1.0, | |
| "passed": true | |
| }, | |
| "onnxruntime": { | |
| "max_abs_error_vs_numpy": 6.3478946685791016e-06, | |
| "classification_agreement": 1.0, | |
| "passed": true | |
| }, | |
| "tensorflow": { | |
| "max_abs_error_vs_numpy": 2.6226043701171875e-06, | |
| "classification_agreement": 1.0, | |
| "passed": true | |
| }, | |
| "litert": { | |
| "max_abs_error_vs_numpy": 3.3974647521972656e-06, | |
| "classification_agreement": 1.0, | |
| "passed": true | |
| }, | |
| "metadata": { | |
| "windows": 64, | |
| "threshold": 0.5, | |
| "max_abs_error_gate": 0.0001, | |
| "reference": "numpy" | |
| }, | |
| "all_passed": true | |
| } | |