Feature Extraction
Transformers
Safetensors
English
symtime
time series
forecasting
foundation models
pretrained models
generative models
time series foundation models
custom_code
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)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FlowVortex/SymTime", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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whenxuan: update the readme
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whenxuan: add the patching for time series
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whenxuan: add the config for model
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whenxuan: update the model type for config
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whenxuan: update the model type
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whenxuan: update the readme for yaml
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whenxuan: init
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initial commit
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