Tabular Regression
ONNX
LiteRT
Keras
PyTorch
LiteRT
industrial
pump
digital-twin
edge-ai
onnxruntime
tensorflow
anomaly-detection
Instructions to use sankalpsthakur/forge-pump-surrogate-multiruntime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use sankalpsthakur/forge-pump-surrogate-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
| { | |
| "absolute_tolerance": 0.001, | |
| "artifact_version": "1.0.0", | |
| "onnx_provider": "CPUExecutionProvider", | |
| "pytorch_vs_litert_max_abs": 1.52587890625e-05, | |
| "pytorch_vs_onnx_max_abs": 1.52587890625e-05, | |
| "pytorch_vs_tensorflow_max_abs": 1.52587890625e-05, | |
| "status": "pass", | |
| "vectors": 32 | |
| } | |