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tct_colbert-v2-hnp-msmarco
castorini/tct_colbert-v2-hnp-msmarco
tct_colbert-v2-hnp-msmarco is a feature extraction model from castorini. Use it when you need embeddings to search or compare text. It is set up for transformers.
This model is to reproduce a variant of TCT-ColBERT-V2 dense retrieval models described in the following paper:
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Aug 12, 2021
- SHA
- 3b46a821
Model card
From the Hugging Face model README
This model is to reproduce a variant of TCT-ColBERT-V2 dense retrieval models described in the following paper:
Sheng-Chieh Lin, Jheng-Hong Yang, and Jimmy Lin. In-Batch Negatives for Knowledge Distillation with Tightly-CoupledTeachers for Dense Retrieval. RepL4NLP 2021.
You can find our reproduction report in Pyserini here.
- Task
- Feature Extraction
- Library
- transformers
- Type
- bert
- Hf Inference
- live
- Created
- Mar 2, 2022
- Updated
- Aug 12, 2021