Instructions to use pfnet/timesfm-1.0-200m-fin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TimesFM
How to use pfnet/timesfm-1.0-200m-fin 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
TimesFM_fin
TimesFM is a time series foundation model released by Google in 2024. TimesFM_fin is a financial-tuned TimesFM trained in this work.
Resources and Technical Documentation:
- Paper: TBD
- Our Tech Blog
- GitHub repo
Authors:
- Xinghong Fu
- Masanori Hirano
- Kentaro Imajo
Installation & Usages
See our GitHub repo
Bias, Risks, and Limitations
TimesFM_fin is a new technology that carries risks with use. Testing conducted to date has not covered, nor could it cover all scenarios. For these reasons, TimesFM_fin’s potential outputs cannot be predicted in advance, and the model may in some instances produce inaccurate, biased or other objectionable responses. This model is not designed for legal, tax, investment, financial, or other advice. Therefore, before deploying any applications of TimesFM_fin, developers should perform safety testing and tuning tailored to their specific applications of the model.
License
CC BY-NC-SA 4.0
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