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tct_colbert-v2-msmarco-cqe
castorini/tct_colbert-v2-msmarco-cqe
tct_colbert-v2-msmarco-cqe 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 Contextualized Query Embeddings for Conversational Search 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
- Oct 18, 2021
- SHA
- 651951a3
Model card
From the Hugging Face model README
This model is to reproduce Contextualized Query Embeddings for Conversational Search described in the following paper:
Sheng-Chieh Lin, Jheng-Hong Yang, and Jimmy Lin. Contextualized Query Embeddings for Conversational Search. EMNLP, Nov 2021.
This model is finetuend only on query ecoder with frezzed passage encoder. The starting point is the tct_colbert-msmarco. The detailed usage of the model will be out soon on Chatty Goose. You can also check the fine-tuning and inference using tensorflow in our CQE repo
- Task
- Feature Extraction
- Library
- transformers
- Type
- bert
- Created
- Mar 2, 2022
- Updated
- Oct 18, 2021