Instructions to use liamsbhoo/timee with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timee-ts
How to use liamsbhoo/timee with timee-ts:
# 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
Add pipeline tag, link to paper and GitHub
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by nielsr HF Staff - opened
README.md
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language:
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- en
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library_name: timee-ts
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tags:
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- time-series
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- classification
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- in-context-learning
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- transformer
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license: apache-2.0
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---
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# TIMEE: Time Series Classification via In-Context Learning
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TIMEE is a pretrained transformer for time series classification.
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It classifies test series in a **single forward pass** given labeled training examples — no per-dataset training or fine-tuning required.
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[](https://arxiv.org/abs/2607.07500)
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[](https://www.apache.org/licenses/LICENSE-2.0)
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## Usage
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```bash
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primaryClass={cs.LG},
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url={https://arxiv.org/abs/2607.07500},
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}
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```
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language:
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- en
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library_name: timee-ts
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license: apache-2.0
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pipeline_tag: other
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tags:
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- time-series
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- classification
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- in-context-learning
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- transformer
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---
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# TIMEE: Time Series Classification via In-Context Learning
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TIMEE is a pretrained transformer for time series classification, introduced in [TimEE: End-to-end Time Series Classification via In-Context Learning](https://huggingface.co/papers/2607.07500).
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It classifies test series in a **single forward pass** given labeled training examples — no per-dataset training or fine-tuning required.
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[](https://arxiv.org/abs/2607.07500)
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[](https://www.apache.org/licenses/LICENSE-2.0)
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Official GitHub Repository: https://github.com/automl/timee
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## Usage
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```bash
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primaryClass={cs.LG},
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url={https://arxiv.org/abs/2607.07500},
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}
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```
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