Efficient Passage Retrieval with Hashing for Open-domain Question Answering
Paper • 2106.00882 • Published
Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
This model is converted from the original BPR repo and fitted into Pyserini:
Ikuya Yamada, Akari Asai, and Hannaneh Hajishirzi. 2021. Efficient passage retrieval with hashing for open-domain question answering. arXiv:2106.00882.
- Downloads last month
- 38
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
# Load model directly from transformers import AutoTokenizer, DPRContextEncoder tokenizer = AutoTokenizer.from_pretrained("castorini/bpr-nq-ctx-encoder") model = DPRContextEncoder.from_pretrained("castorini/bpr-nq-ctx-encoder")