How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("feature-extraction", model="eugene-yang/dpr-xlmr-large-mtt-neuclir")
# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("eugene-yang/dpr-xlmr-large-mtt-neuclir")
model = AutoModelForMultimodalLM.from_pretrained("eugene-yang/dpr-xlmr-large-mtt-neuclir")
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DPR model trained for NeuCLIR with MTT with MS-MARCO English queries and translated documents in Chinese, Persian, and Russian. Translation can be found in neuMARCO on ir-datasets.

Please cite the following paper if you use this model

@inproceedings{ecir2023mlir,
    title = {Neural Approaches to Multilingual Information Retrieval},
    author = {Dawn Lawrie and Eugene Yang and Douglas W Oard and James Mayfield},
    booktitle = {Proceedings of the 45th European Conference on Information Retrieval (ECIR)},
    year = {2023},
    url = {https://arxiv.org/abs/2209.01335}
}
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Paper for eugene-yang/dpr-xlmr-large-mtt-neuclir