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
| { | |
| "architecture": "6-32-32-6 relu mlp with embedded normalization", | |
| "artifact_version": "1.0.0", | |
| "feature_order": [ | |
| "speed_fraction", | |
| "static_head_m", | |
| "system_k", | |
| "voltage_fraction", | |
| "ambient_temp_c", | |
| "inlet_pressure_bar" | |
| ], | |
| "operational_write_capability": "absent", | |
| "source_class": "clean_room_deterministic_synthetic_generic_pump", | |
| "target_order": [ | |
| "flow_m3h", | |
| "total_head_m", | |
| "input_power_kw", | |
| "winding_temp_c", | |
| "npsh_margin_m", | |
| "efficiency_fraction" | |
| ] | |
| } | |