模型:
nickprock/setfit-italian-hate-speech
这是一个可用于文本分类的模型。该模型使用了一种高效的少样本学习技术,包括:
此模型用于检测意大利语的仇恨言论:
setfit-意大利仇恨言论是使用 HaSpeeDe-FB 数据集进行训练的。
要将此模型用于推理,请先安装SetFit库:
python -m pip install setfit
然后,你可以按以下方式运行推理:
from setfit import SetFitModel # Download from Hub and run inference model = SetFitModel.from_pretrained("nickprock/setfit-italian-hate-speech") # Run inference preds = model(["Lei è una brutta bugiarda!", "Mi piace la pizza"])
@article{https://doi.org/10.48550/arxiv.2209.11055, doi = {10.48550/ARXIV.2209.11055}, url = {https://arxiv.org/abs/2209.11055}, author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren}, keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences}, title = {Efficient Few-Shot Learning Without Prompts}, publisher = {arXiv}, year = {2022}, copyright = {Creative Commons Attribution 4.0 International} }
@inproceedings{VignaCDPT17, title = {Hate Me, Hate Me Not: Hate Speech Detection on Facebook}, author = {Fabio Del Vigna and Andrea Cimino and Felice dell'Orletta and Marinella Petrocchi and Maurizio Tesconi}, year = {2017}, url = {http://ceur-ws.org/Vol-1816/paper-09.pdf}, researchr = {https://researchr.org/publication/VignaCDPT17}, cites = {0}, citedby = {0}, pages = {86-95}, booktitle = {Proceedings of the First Italian Conference on Cybersecurity (ITASEC17), Venice, Italy, January 17-20, 2017}, editor = {Alessandro Armando and Roberto Baldoni and Riccardo Focardi}, volume = {1816}, series = {CEUR Workshop Proceedings}, publisher = {CEUR-WS.org}, }