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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6705e3bb07c399445dade9a5c8b9b4b744e11820d12f4bf406b8967e7b67db8
- Size of remote file:
- 16 kB
- SHA256:
- 544cb6421b975bd5d2b2360a4e666003794e6197ae654d2ad963cd6572a86ede
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.