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eCityAI-Sup
/
eCity-TS-313M

Time Series Forecasting
ONNX
TensorRT
multivariate-forecasting
quantile-forecast
water-utilities
onnxruntime
Model card Files Files and versions
xet
Community

Instructions to use eCityAI-Sup/eCity-TS-313M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • TensorRT

    How to use eCityAI-Sup/eCity-TS-313M with TensorRT:

    # 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
eCity-TS-313M
2.67 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
eCityAI-Sup's picture
eCityAI-Sup
docs: rename model to eCity-TS-313M
155a502 verified 3 days ago
  • artifacts
    add TensorRT fp32 engine 3 days ago
  • example
    add benchmark snapshot 3 days ago
  • .gitattributes
    1.68 kB
    add TensorRT fp32 engine 3 days ago
  • LICENSE
    11.4 kB
    add Apache-2.0 LICENSE 3 days ago
  • README.md
    12.2 kB
    docs: rename model to eCity-TS-313M 3 days ago
  • demo_onnx.py
    3.35 kB
    add ONNX Runtime inference demo 3 days ago
  • demo_trt.py
    4.79 kB
    add TensorRT inference demo 3 days ago
  • requirements.txt
    680 Bytes
    add inference requirements 3 days ago