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README.md
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license_name: nx-ai-community-license
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---
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# TiRex: Zero-Shot Forecasting across Long and Short Horizons
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[](https://arxiv.org/abs/2505.23719)
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[](https://huggingface.co/NX-AI/TiRex)
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[](https://pypi.org/project/tirex-ts/)
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[](https://pepy.tech/projects/tirex-ts)
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[](https://github.com/NX-AI/tirex-internal/blob/main/LICENSE)
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[](https://nx-ai.github.io/tirex/)
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</div>
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This repository provides the pre-trained forecasting model TiRex introduced in the paper
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[TiRex: Zero-Shot Forecasting across Long and Short Horizons with Enhanced In-Context Learning](https://arxiv.org/abs/2505.23719).
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## TiRex Model
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TiRex is a 35M parameter pre-trained time series forecasting model based on [xLSTM](https://github.com/NX-AI/xlstm).
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### Key Facts:
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We provide notebooks to run the benchmarks: [GiftEval](./examples/gifteval/gifteval.ipynb) and [Chronos-ZS](./examples/chronos_zs/chronos_zs.ipynb).
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## TiRex Classification Model
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[](http://arxiv.org/abs/2510.26777)
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For detailed instructions on using TiRex classification model please visit our [documentation page](https://nx-ai.github.io/tirex/how-to/classification/) and [quick start Notebook](./examples/quick_start_tirex_classification.ipynb).
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## TiRex Docker image
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For detailed instructions on building and running TiRex in a Docker container, see the [Docker README](./inference/README.md) or our [deployment documentation](https://nx-ai.github.io/tirex/deployment).
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license_name: nx-ai-community-license
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# TiRex
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This repository provides the pre-trained forecasting model TiRex introduced in the paper
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[TiRex: Zero-Shot Forecasting across Long and Short Horizons with Enhanced In-Context Learning](https://arxiv.org/abs/2505.23719).
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TiRex is a 35M parameter pre-trained time series forecasting model based on [xLSTM](https://github.com/NX-AI/xlstm).
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### Key Facts:
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We provide notebooks to run the benchmarks: [GiftEval](./examples/gifteval/gifteval.ipynb) and [Chronos-ZS](./examples/chronos_zs/chronos_zs.ipynb).
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## TiRex Classification Model
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For detailed instructions on using TiRex classification model please visit our [documentation page](https://nx-ai.github.io/tirex/how-to/classification/) and [quick start Notebook](./examples/quick_start_tirex_classification.ipynb).
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Paper: [Pre-trained Forecasting Models: Strong Zero-Shot Feature Extractors for Time Series Classification](http://arxiv.org/abs/2510.26777)
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## TiRex Docker image
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For detailed instructions on building and running TiRex in a Docker container, see the [Docker README](./inference/README.md) or our [deployment documentation](https://nx-ai.github.io/tirex/deployment).
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