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:
- 373d00da0437e8cc80c4458921a65874bf22690176d35249dd883414dc8951dc
- Size of remote file:
- 16 kB
- SHA256:
- f26e28be26826eeeed244b77185c67b443ac185175f8d4bf5ba94caa8b271bc5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.