Instructions to use prosecalign/phi3m0128-cds-0.8-kendall-onof-decrease-corr-max-2-simpo-max1500-default with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prosecalign/phi3m0128-cds-0.8-kendall-onof-decrease-corr-max-2-simpo-max1500-default with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("prosecalign/phi3m0128-cds-0.8-kendall-onof-decrease-corr-max-2-simpo-max1500-default", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb1734971554672a0e80aba02e83e7d889a0e361039e85279b5a4ac47dd14ff9
- Size of remote file:
- 1.06 kB
- SHA256:
- 1b15c0ac6aed8c96934519c3374aefe8fdd7061431343a569b99174193586897
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.