Time Series Forecasting
Transformers
Safetensors
foundation models
pretrained models
time series foundation models
time series
time-series
timeseries
forecasting
observability
Eval Results (legacy)
Instructions to use Datadog/Toto-Open-Base-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Datadog/Toto-Open-Base-1.0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Datadog/Toto-Open-Base-1.0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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For detailed inference instructions, refer to the [inference tutorial notebook](https://github.com/DataDog/toto/blob/main/toto/notebooks/inference_tutorial.ipynb).
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### Performance Recommendations
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For detailed inference instructions, refer to the [inference tutorial notebook](https://github.com/DataDog/toto/blob/main/toto/notebooks/inference_tutorial.ipynb).
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### Performance Recommendations
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- ### **For optimal speed and reduced memory usage, install [xFormers](https://github.com/facebookresearch/xformers) and [flash-attention](https://github.com/Dao-AILab/flash-attention). Then, set `use_memory_efficient` to `True`.**
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