Using the Group News 20 dataset, this project employs the microsoft/phi1.5 model for text classification via prompting. We redefine classification as label generation, evaluating results with standard metrics and uploading the model on HuggingFace.
Using the Group News 20 dataset, this project employs the microsoft/phi1.5 model for text classification via prompting. We redefine classification as label generation, evaluating results with standard metrics and uploading the model on HuggingFace
Using the Group News 20 dataset, this project employs the microsoft/phi1.5 model for text classification via prompting. We redefine classification as label generation, evaluating results with standard metrics and uploading the model on HuggingFace.
Using the Group News 20 dataset, this project employs the microsoft/phi1.5 model for text classification via prompting. We redefine classification as label generation, evaluating results with standard metrics and uploading the model on HuggingFace
MIT License