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timesfm 时间序列预测任务

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TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

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Github热门的Issue

#13.ImportError: cannot import name 'patched_decoder' from 'src'

2024年05月11日

#143.How to run timesfm on torch, questions and solve plan !

2024年09月12日

#14.Finetuning

2024年05月11日

#187.Conflict Between Python 3.11 Requirement for Torch Version and Incompatibility of Lingvo, Praxis, and Paxml

2024年11月20日

#43.Error in loading checkpoint

2024年05月21日

#225.Jax and Tensorflow requiring two different CUDA versions

2025年01月22日

#61.The training code

2024年05月31日

#333.Is 2.5 Flax version not ok now?

2025年10月31日

#203.can't reproduce performance of covariates.ipynb

2024年12月24日

#76.When will the training code be released?

2024年06月14日

Github最新的讨论区

#380.pip support

2026年04月01日

#370.TimesFM 2.5 pip support

2026年02月24日

#322.Timesfm 2.5 in-context fine tuning?

2025年10月06日

#317.Finetuning for 2.5

2025年10月02日

#308.AttributeError: module 'timesfm' has no attribute 'TimesFM_2p5_200M_torch'

2025年09月24日

#300.How can I get embedding for time-series using this model?

2025年09月18日

#288.forecast_with_covariates with torch version

2025年07月23日

#263.Can I finetune the model with Pytorch for "horizon_len" lower than 128?

2025年04月03日

#256.How to load finetuned checkpoints using LoRA and DoRA

2025年03月19日

#241.Obtaining torch_model.ckpt

2025年02月16日

Github最新Release版本

v1.2.6

2025年01月01日

Changes:

Add support for TimesFM-2.0 models.
Set the median head as the default point forecaster.

PyPI Release:

v1.2.6: Support for TimesFM-2.0 models.

Add hparam support for TimesFM-2.0 models.
Some bug fixes in pytorch decoding.
Right now we do not support cached decoding in both jax and pytorch.

Checkpoints:

The TimesFM-2.0 checkpoints are available on Hugging Face:

https://huggingface.co/google/timesfm-2.0-500m-jax
https://huggingface.co/google/timesfm-2.0-500m-pytorch

Full Changelog:

https://github.com/google-research/timesfm/commits/v1.2.6

详细ChangeLog

v1.2.1

2024年10月19日

Changes:

PyTorch support for TimesFM inference.

PyPI Release:

v1.2.1: Support separate dependencies for pax and torch versions of TimesFM:

pip install timesfm[pax] for the pax version and jax checkpoints.
pip install timesfm[torch] for the torch version and checkpoints.
See the updated README for the usage.

Checkpoints:

The PyTorch checkpoint for the 200m model is available on Hugging Face:

https://huggingface.co/google/timesfm-1.0-200m-pytorch

Full Changelog:

https://github.com/google-research/timesfm/commits/v1.2.1

详细ChangeLog

项目发展历程

组织项目

发布时间 2024年04月30日

最近更新 2026年06月22日

编程语言 Python

GitHub Star 24.8k

GitHub Fork 2.4k

GitHub Watch 175

timesfm 时间序列预测任务

timesfm 时间序列预测任务

用户评论 (0)

#13.ImportError: cannot import name 'patched_decoder' from 'src'

#143.How to run timesfm on torch, questions and solve plan !

#14.Finetuning

#187.Conflict Between Python 3.11 Requirement for Torch Version and Incompatibility of Lingvo, Praxis, and Paxml

#43.Error in loading checkpoint

#225.Jax and Tensorflow requiring two different CUDA versions

#61.The training code

#333.Is 2.5 Flax version not ok now?

#203.can't reproduce performance of covariates.ipynb

#76.When will the training code be released?

#380.pip support

#370.TimesFM 2.5 pip support

#322.Timesfm 2.5 in-context fine tuning?

#317.Finetuning for 2.5

#308.AttributeError: module 'timesfm' has no attribute 'TimesFM_2p5_200M_torch'

#300.How can I get embedding for time-series using this model?

#288.forecast_with_covariates with torch version

#263.Can I finetune the model with Pytorch for "horizon_len" lower than 128?

#256.How to load finetuned checkpoints using LoRA and DoRA

#241.Obtaining torch_model.ckpt

v1.2.6

Changes:

PyPI Release:

Checkpoints:

Full Changelog:

v1.2.1

Changes:

PyPI Release:

Checkpoints:

Full Changelog:

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timesfm 时间序列预测任务

timesfm 时间序列预测任务

为timesfm打分

用户评论 (0)

#13.ImportError: cannot import name 'patched_decoder' from 'src'

#143.How to run timesfm on torch, questions and solve plan !

#14.Finetuning

#187.Conflict Between Python 3.11 Requirement for Torch Version and Incompatibility of Lingvo, Praxis, and Paxml

#43.Error in loading checkpoint

#225.Jax and Tensorflow requiring two different CUDA versions

#61.The training code

#333.Is 2.5 Flax version not ok now?

#203.can't reproduce performance of covariates.ipynb

#76.When will the training code be released?

#380.pip support

#370.TimesFM 2.5 pip support

#322.Timesfm 2.5 in-context fine tuning?

#317.Finetuning for 2.5

#308.AttributeError: module 'timesfm' has no attribute 'TimesFM_2p5_200M_torch'

#300.How can I get embedding for time-series using this model?

#288.forecast_with_covariates with torch version

#263.Can I finetune the model with Pytorch for "horizon_len" lower than 128?

#256.How to load finetuned checkpoints using LoRA and DoRA

#241.Obtaining torch_model.ckpt

v1.2.6

Changes:

PyPI Release:

Checkpoints:

Full Changelog:

v1.2.1

Changes:

PyPI Release:

Checkpoints:

Full Changelog:

项目发展历程

组织项目

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