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:
- 01e4e09c080a3f7cc6d7b91376b42fa7898fec074ec4fe7fa7a49fb025a1c78a
- Size of remote file:
- 16 kB
- SHA256:
- 9ab728c2461d6d1c64f04d7cbfdfcbfa7bd7ad0ef6e19d52458501ee81b27128
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.