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:
- 2acf1e329a3c69083801e9d3db64d5f52237e144fc15da1d0808205043b3796a
- Size of remote file:
- 1.06 kB
- SHA256:
- 709de536bf88f0c0537627db40aeb340c48cf2b36840b46c985e35dfbb08eaa1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.