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:
from transformers import AutoModel, AutoTokenizer
model = AutoModel.from_pretrained("OpenMatch/cocodr-large-msmarco")
tokenizer = AutoTokenizer.from_pretrained("OpenMatch/cocodr-large-msmarco")
Runs of OpenMatch cocodr-large-msmarco on huggingface.co
9
Total runs
-2
24-hour runs
-2
3-day runs
-4
7-day runs
-2
30-day runs
More Information About cocodr-large-msmarco huggingface.co Model
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