Instructions to use alexgrigoras/sdg_chronos_t5_small_dunnhumby with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexgrigoras/sdg_chronos_t5_small_dunnhumby with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("alexgrigoras/sdg_chronos_t5_small_dunnhumby", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ce20f5a0610baa903ab3dc41a7530d0a2623d40061b4895467f36e08d4c1b4d
- Size of remote file:
- 5.46 kB
- SHA256:
- a2fc6a0a094cb5c9a6e42317044c60b442bf2605691d8bc9207b0c529a660502
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.