Time Series Forecasting
Transformers
Safetensors
time series
forecasting
pretrained models
foundation models
time series foundation models
time-series
Instructions to use Salesforce/moirai-1.1-R-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/moirai-1.1-R-base with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Salesforce/moirai-1.1-R-base", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -4,6 +4,6 @@ tags:
|
|
| 4 |
- model_hub_mixin
|
| 5 |
---
|
| 6 |
|
| 7 |
-
This
|
| 8 |
-
-
|
| 9 |
-
|
|
|
|
| 4 |
- model_hub_mixin
|
| 5 |
---
|
| 6 |
|
| 7 |
+
This is new updated version of Moirai-1.0-R (https://huggingface.co/Salesforce/moirai-1.0-R-base).
|
| 8 |
+
The new Moirai model achieved significant improvements (~20%) for low-frequency cases like Yearly and Quarterly data in Normalised Mean Absolute Error (NMAE) for 40 datasets on the Monash repository.
|
| 9 |
+
|