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:
- 5aa0f5f99398a4f8320408ba5c38de107c640c3079338feebe4f5ce341384777
- Size of remote file:
- 16 kB
- SHA256:
- 606ab3ca92e3d20c327c69fdcce7f7e39bec2f2c3538b036088b255f917e3ba4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.