Model ini digunakan untuk mengklasifikasikan ulasan pengguna aplikasi di Mobile Store ke dalam 4 kategori:
Model ini dilatih berdasarkan pretrained model
IndoBERT (indobenchmark/indobert-base-p1) dari IndoNLU.
@inproceedings{wilie2020indonlu,
title={IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding},
author={Bryan Wilie and Karissa Vincentio and Genta Indra Winata and Samuel Cahyawijaya and X. Li and Zhi Yuan Lim and S. Soleman and R. Mahendra and Pascale Fung and Syafri Bahar and A. Purwarianti},
booktitle={Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing},
year={2020}
}
Dilatih pada dataset berlabel berbahasa Indonesia (custom dataset).
1from transformers import AutoTokenizer, AutoModelForSequenceClassification
2
3model = AutoModelForSequenceClassification.from_pretrained("gilangsp/01-classification-review-mobilestore-model-f1-064")
4tokenizer = AutoTokenizer.from_pretrained("gilangsp/01-classification-review-mobilestore-model-f1-064")
5
6inputs = tokenizer("aplikasi sering crash pas buka kamera", return_tensors="pt")
7outputs = model(**inputs)
