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
Download requirements.txt from FlowVortex/SymTime: direct link, hf CLI and curl.
- Browser
- Download file 27 Bytes
-
https://huggingface.co/FlowVortex/SymTime/resolve/233512e1cbdfbdfdf80d1979d7deb1cdd7064589/requirements.txt
- Command line
-
hf download hf://FlowVortex/SymTime@233512e1cbdfbdfdf80d1979d7deb1cdd7064589/requirements.txt
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curl -L -o requirements.txt https://huggingface.co/FlowVortex/SymTime/resolve/233512e1cbdfbdfdf80d1979d7deb1cdd7064589/requirements.txt
27 Bytes
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