Time Series Forecasting
Transformers
English
feature-extraction
Time-series
foundation-model
forecasting
TSFM
Instructions to use Melady/TEMPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Melady/TEMPO with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Melady/TEMPO", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b7944058a24e968f4796a2bcf4c0be292448e634c4314a34b03bf8ebaf7a30e
- Size of remote file:
- 136 MB
- SHA256:
- cb06463d56fa17d87f47027cd9389ceae82a69eddee51cdb61480e120dab0b16
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.