TouR
Collection
This collection hosts Phrase-reranker models introduced in TouR (ACL 2023 Findings), optimizing test-time query representations for dense retrieval. • 4 items • Updated
How to use dmis-lab/phrase-reranker-multi-trec with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="dmis-lab/phrase-reranker-multi-trec") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("dmis-lab/phrase-reranker-multi-trec")
model = AutoModelForSequenceClassification.from_pretrained("dmis-lab/phrase-reranker-multi-trec")No model card