Instructions to use google/timesfm-3.0-pytorch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TimesFM
How to use google/timesfm-3.0-pytorch with TimesFM:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Update README.md
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by ayujain25 - opened
README.md
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@@ -34,7 +34,7 @@ This model is released under the **[TimesFM Non-Commercial License v1.0](LICENSE
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timesfm-3.0 is pretrained using
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- GiftEvalPretrain excluding the datasets that overlap with fev-bench
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- Google Trends top queries, cutoff EoY 2022 (see paper for details).
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- Synthetic and augmented data.
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timesfm-3.0 is pretrained using
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- GiftEvalPretrain excluding the datasets that overlap with fev-bench
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- Wikipedia Pageviews, cutoff Nov 2023 (see paper for details).
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- Google Trends top queries, cutoff EoY 2022 (see paper for details).
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- Synthetic and augmented data.
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