How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="zabojeb/MvP")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("zabojeb/MvP")
model = AutoModelForSeq2SeqLM.from_pretrained("zabojeb/MvP")
Quick Links

@inproceedings{gou-etal-2023-mvp, title = "{M}v{P}: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction", author = "Gou, Zhibin and Guo, Qingyan and Yang, Yujiu", booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)", month = jul, year = "2023", address = "Toronto, Canada", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2023.acl-long.240", pages = "4380--4397", }

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