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:
- 299cff27916b638eda741823651c6beb2ba737b7f705fe18523891e40111e51b
- Size of remote file:
- 34.7 MB
- SHA256:
- 4281e9176124a103d1918f0a39118df8319e46763df7382d7f23dd5b24276111
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.