Instructions to use OpenMatch/ance-tele_nq_qry-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMatch/ance-tele_nq_qry-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="OpenMatch/ance-tele_nq_qry-encoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("OpenMatch/ance-tele_nq_qry-encoder") model = AutoModel.from_pretrained("OpenMatch/ance-tele_nq_qry-encoder") - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -14,7 +14,7 @@ ANCE-Tele only trains with self-mined negatives (teleportation negatives) withou
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```
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@inproceedings{sun2022ancetele,
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title={Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives},
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author={Si Sun
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booktitle={Proceedings of EMNLP 2022},
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year={2022}
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}
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```
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@inproceedings{sun2022ancetele,
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title={Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives},
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author={Si, Sun and Chenyan, Xiong and Yue, Yu and Arnold, Overwijk and Zhiyuan, Liu and Jie, Bao},
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booktitle={Proceedings of EMNLP 2022},
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year={2022}
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}
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