# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("rafaelkallis/tickettagger-roberta")
model = AutoModelForSequenceClassification.from_pretrained("rafaelkallis/tickettagger-roberta", device_map="auto")Quick Links
Please cite if you use this model:
@inproceedings{nlbse2023,
author={Kallis, Rafael and Izadi, Maliheh and Pascarella, Luca and Chaparro, Oscar and Rani, Pooja},
title={The NLBSE'23 Tool Competition},
booktitle={Proceedings of The 2nd International Workshop on Natural Language-based Software Engineering (NLBSE'23)},
year={2023}
}
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rafaelkallis/tickettagger-roberta")