dragon-multiturn-query-encoder
We introduce Dragon-multiturn, a retriever specifically designed for the conversational QA scenario. It can handle conversational query which combine dialogue history with the current query. It is built on top of the Dragon retriever. The details of Dragon-multiturn can be found in here. Please note that Dragon-multiturn is a dual encoder consisting of a query encoder and a context encoder. This repository is only fo...
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Context
512
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Specifications
- Architecture
- BertModel
- Context length
- 512
- Vocabulary
- 30,522
- Layers / heads
- 12 / 12
- Licence
- other
- First seen on the Hub
- 2024-04-30
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-14
Compare with any feature-extraction model