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:
- 530932610797fc9a684f3fb05a62d317199d023d201a64bc8b8dc5bd1e1cab41
- Size of remote file:
- 16 kB
- SHA256:
- dc47fa553a7e6a70b45be521b98449ef920fe0d39f6cf85ae50b9a45d6c9da85
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.