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FlowVortex
/
SymTime

Feature Extraction
Transformers
Safetensors
English
symtime
time series
forecasting
foundation models
pretrained models
generative models
time series foundation models
custom_code
Model card Files Files and versions
xet
Community

Instructions to use FlowVortex/SymTime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use FlowVortex/SymTime with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="FlowVortex/SymTime", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("FlowVortex/SymTime", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
SymTime
86 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
whenxuan's picture
whenxuan
whenxuan: update the readme
1ddb5c4 verified 18 days ago
  • .gitattributes
    1.52 kB
    initial commit 18 days ago
  • .gitignore
    4.93 kB
    whenxuan: init 18 days ago
  • LICENSE
    11.5 kB
    whenxuan: init 18 days ago
  • README.md
    3.62 kB
    whenxuan: update the readme 18 days ago
  • config.json
    539 Bytes
    whenxuan: add the patching for time series 18 days ago
  • configuration_symtime.py
    1.89 kB
    whenxuan: add the patching for time series 18 days ago
  • layers.py
    14.2 kB
    whenxuan: add the patching for time series 18 days ago
  • model.py
    8.44 kB
    whenxuan: add the patching for time series 18 days ago
  • model.safetensors
    86 MB
    xet
    whenxuan: init 18 days ago
  • requirements.txt
    27 Bytes
    whenxuan: init 18 days ago