--- license: mit --- This model has been first pretrained on the BEIR corpus and fine-tuned on the MS MARCO dataset following the approach described in the paper **COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning**. The associated GitHub repository is available here https://github.com/OpenMatch/COCO-DR. This model is trained with BERT-large as the backbone with 335M hyperparameters. See the paper https://arxiv.org/abs/2210.15212 for details. ## Usage Pre-trained models can be loaded through the HuggingFace transformers library: ```python from transformers import AutoModel, AutoTokenizer model = AutoModel.from_pretrained("OpenMatch/cocodr-large-msmarco") tokenizer = AutoTokenizer.from_pretrained("OpenMatch/cocodr-large-msmarco") ```