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
File size: 671 Bytes
33355bf | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | {
"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
}
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