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open-nq-colbert-xlmr-large
PrimeQA/open-nq-colbert-xlmr-large
open-nq-colbert-xlmr-large is a machine learning model from PrimeQA. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
This is a retriever model based on ColBERT v2 with bert-base-uncased language model.<br This model was trained with the OpenNQ data.<br The architecture of the model and hyper parameters are described in the paper ‘Re…
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Nov 17, 2022
- Updated
- Aug 31, 2023
- SHA
- 224e6cbf
Model card
From the Hugging Face model README
Model Description
This is a retriever model based on ColBERT v2 with bert-base-uncased language model.<br> This model was trained with the OpenNQ data.<br> The architecture of the model and hyper parameters are described in the paper ‘Relevance-guided Supervision for OpenQA with ColBERT’.
Intended uses & limitations
This model uses the xlm-roberta-large LM. Biases associated with the pre-trained language model we used may be present in this ColBERT v2 model.
Usage
This model can be used with PrimeQA’s ColBERT engine.
BibTeX entry and citation info
@article{Khattab2021RelevanceguidedSF,
title={Relevance-guided Supervision for OpenQA with ColBERT},
author={O. Khattab and Christopher Potts and Matei A. Zaharia},
journal={Transactions of the Association for Computational Linguistics},
year={2021},
}
@article{Lee2019LatentRF,
title={Latent Retrieval for Weakly Supervised Open Domain Question Answering},
author={Kenton Lee and Ming-Wei Chang and Kristina Toutanova},
journal={ACL},
year={2019}
}
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Nov 17, 2022
- Updated
- Aug 31, 2023