hugosousa/TimeQA
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How to use seungyoonee/tsm-contriever with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("question-answering", model="seungyoonee/tsm-contriever") # Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("seungyoonee/tsm-contriever")
model = AutoModelForCausalLM.from_pretrained("seungyoonee/tsm-contriever")BibTeX:
@inproceedings{han-etal-2025-temporal, title = "Temporal Information Retrieval via Time-Specifier Model Merging", author = "Han, SeungYoon and Hwang, Taeho and Cho, Sukmin and Jeong, Soyeong and Song, Hoyun and Lee, Huije and Park, Jong C.", booktitle = "Proceedings of the 3rd Workshop on Towards Knowledgeable Foundation Models (KnowFM)", month = aug, year = "2025", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2025.knowllm-1.1/", }
arXiv:
Base model
facebook/contriever