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
| { | |
| "environment": { | |
| "cpu_only": true, | |
| "onnxruntime": "1.28.0", | |
| "tensorflow": "2.21.0", | |
| "torch": "2.13.0+cu130" | |
| }, | |
| "onnx_batch1": { | |
| "median_ms": 0.006119, | |
| "p95_ms": 0.0067055, | |
| "repeats": 150 | |
| }, | |
| "onnx_batch1024": { | |
| "median_ms": 0.17622100000000002, | |
| "p95_ms": 0.24993579999999999, | |
| "repeats": 50 | |
| }, | |
| "pytorch_batch1": { | |
| "median_ms": 0.033549999999999996, | |
| "p95_ms": 0.03858209999999997, | |
| "repeats": 150 | |
| }, | |
| "scope": "single_container_cpu_measurement_not_device_slo" | |
| } | |