Chronos-bolt-base

#4
Files changed (1) hide show
  1. README.md +8 -9
README.md CHANGED
@@ -2,18 +2,17 @@
2
  license: apache-2.0
3
  pipeline_tag: time-series-forecasting
4
  tags:
5
- - time series
6
- - forecasting
7
- - pretrained models
8
- - foundation models
9
- - time series foundation models
10
- - time-series
11
- new_version: amazon/chronos-2
12
  ---
13
 
14
  # Chronos-Bolt⚡ (Base)
15
 
16
- 🚀 **Update Feb 14, 2025**: Chronos-Bolt models are now available on Amazon SageMaker JumpStart! Check out the [tutorial notebook](https://github.com/amazon-science/chronos-forecasting/blob/main/notebooks/deploy-chronos-to-amazon-sagemaker.ipynb) to learn how to deploy Chronos endpoints for production use in a few lines of code.
17
 
18
  Chronos-Bolt is a family of pretrained time series forecasting models which can be used for zero-shot forecasting. It is based on the [T5 encoder-decoder architecture](https://arxiv.org/abs/1910.10683) and has been trained on nearly 100 billion time series observations. It chunks the historical time series context into patches of multiple observations, which are then input into the encoder. The decoder then uses these representations to directly generate quantile forecasts across multiple future steps—a method known as direct multi-step forecasting. Chronos-Bolt models are up to 250 times faster and 20 times more memory-efficient than the [original Chronos](https://arxiv.org/abs/2403.07815) models of the same size.
19
 
@@ -167,4 +166,4 @@ If you find Chronos or Chronos-Bolt models useful for your research, please cons
167
 
168
  ## License
169
 
170
- This project is licensed under the Apache-2.0 License.
 
2
  license: apache-2.0
3
  pipeline_tag: time-series-forecasting
4
  tags:
5
+ - time series
6
+ - forecasting
7
+ - pretrained models
8
+ - foundation models
9
+ - time series foundation models
10
+ - time-series
 
11
  ---
12
 
13
  # Chronos-Bolt⚡ (Base)
14
 
15
+ 🚀 **Update Feb 14, 2025**: Chronos-Bolt models are now available on Amazon SageMaker JumpStart! Check out the [tutorial notebook](https://github.com/amazon-science/chronos-forecasting/blob/main/notebooks/deploy-chronos-bolt-to-amazon-sagemaker.ipynb) to learn how to deploy Chronos endpoints for production use in a few lines of code.
16
 
17
  Chronos-Bolt is a family of pretrained time series forecasting models which can be used for zero-shot forecasting. It is based on the [T5 encoder-decoder architecture](https://arxiv.org/abs/1910.10683) and has been trained on nearly 100 billion time series observations. It chunks the historical time series context into patches of multiple observations, which are then input into the encoder. The decoder then uses these representations to directly generate quantile forecasts across multiple future steps—a method known as direct multi-step forecasting. Chronos-Bolt models are up to 250 times faster and 20 times more memory-efficient than the [original Chronos](https://arxiv.org/abs/2403.07815) models of the same size.
18
 
 
166
 
167
  ## License
168
 
169
+ This project is licensed under the Apache-2.0 License.