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thuml
/
sundial-base-128m

Time Series Forecasting
Transformers
Safetensors
sundial
text-generation
time series
time-series
forecasting
foundation models
pretrained models
generative models
time series foundation models
custom_code
Model card Files Files and versions
xet
Community
10

Instructions to use thuml/sundial-base-128m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use thuml/sundial-base-128m with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("thuml/sundial-base-128m", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Generated samples are exactly what CRPS scoring consumes — a live venue for Sundial

#10 opened about 2 months ago by
kopei

该模型支持多变量和协变量预测吗?

#9 opened 10 months ago by
w15864620573

预训练硬件要求

#7 opened about 1 year ago by
magic123456

444m

#6 opened about 1 year ago by
darvec

关于多特征预测

#5 opened about 1 year ago by
liuwei1205

Model APIs for representation learning

🤗 1
1
#4 opened over 1 year ago by
bugcatcher

关于最大预测长度

1
#3 opened over 1 year ago by
RoadToNowhere

loss好像和paper不一样

2
#2 opened over 1 year ago by
GamaDog

Exogenous variables and finetuning

4
#1 opened over 1 year ago by
iamshnoo
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