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)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FlowVortex/SymTime", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04671e95b64b4351419afd62e7588d2e9376787587122f89da6e5964025726d7
- Size of remote file:
- 86 MB
- SHA256:
- 00fd4239b3110418392f60f6b5fc93604b75bb7aad45b05be94e0397b3d81334
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