# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("OpenMatch/Web-DRO")
model = AutoModel.from_pretrained("OpenMatch/Web-DRO")Quick Links
The Retrieval Model in Paper: Distributionally Robust Unsupervised Dense Retrieval Training on Web Graphs.
This is a dense retrieval model trained with Group DRO using web information. If you want to reproduce our evaluation results or learn more about our work, please refer to https://github.com/OpenMatch/Web-DRO .
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="OpenMatch/Web-DRO")