ahmedheakl/resume-atlas
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How to use ahmedheakl/resume-classification-gemma-2b-v1 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="ahmedheakl/resume-classification-gemma-2b-v1") # Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("ahmedheakl/resume-classification-gemma-2b-v1", device_map="auto")Please see paper & code for more information:
BibTeX:
@article{heakl2024resumeatlas,
title={ResumeAtlas: Revisiting Resume Classification with Large-Scale Datasets and Large Language Models},
author={Heakl, Ahmed and Mohamed, Youssef and Mohamed, Noran and Sharkaway, Ali and Zaky, Ahmed},
journal={arXiv preprint arXiv:2406.18125},
year={2024}
}
APA:
Heakl, A., Mohamed, Y., Mohamed, N., Sharkaway, A., & Zaky, A. (2024). ResumeAtlas: Revisiting Resume Classification with Large-Scale Datasets and Large Language Models. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2406.18125
Email: ahmed.heakl@ejust.edu.eg Linkedin: https://linkedin.com/in/ahmed-heakl