# RepBert
- Paper: RepBERT: Contextualized Text Embeddings for First-Stage Retrieval
- Dataset: msmarco-passage-v1
- Checkpoint: repbert.ckpt-350000.zip
- Model type: transformers.BertModel
- Github: https://github.com/jingtaozhan/RepBERT-Index
- Google drive download link: https://drive.google.com/file/d/1xhwy_nvRWSNyJ2V7uP3FC5zVwj1Xmylv/view?usp=sharing
| Metrics | MRR@10 | Recall@1000 |
|:---:|:---:|:---:|
| Eval | 0.294 | - |
| Dev | 0.304 | 0.813 |

{"language": ["en"], "library_name": "transformers", "datasets": ["Tevatron/msmarco-passage-corpus"]}
transformers pytorch bert en dataset:Tevatron/msmarco-passage-corpus endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #en #dataset-Tevatron/msmarco-passage-corpus #endpoints_compatible #region-us 

# RepBert
- Paper: RepBERT: Contextualized Text Embeddings for First-Stage Retrieval
- Dataset: msmarco-passage-v1
- Checkpoint: URL
- Model type: transformers.BertModel
- Github: URL
- Google drive download link: URL
| Metrics | MRR@10 | Recall@1000 |
|:---:|:---:|:---:|
| Eval | 0.294 | - |
| Dev | 0.304 | 0.813 |

# RepBert
- Paper: RepBERT: Contextualized Text Embeddings for First-Stage Retrieval
- Dataset: msmarco-passage-v1
- Checkpoint: URL
- Model type: transformers.BertModel
- Github: URL
- Google drive download link: URL
| Metrics | MRR@10 | Recall@1000 |
|:---:|:---:|:---:|
| Eval | 0.294 | - |
| Dev | 0.304 | 0.813 |
TAGS
#transformers #pytorch #bert #en #dataset-Tevatron/msmarco-passage-corpus #endpoints_compatible #region-us 
 # RepBert
- Paper: RepBERT: Contextualized Text Embeddings for First-Stage Retrieval
- Dataset: msmarco-passage-v1
- Checkpoint: URL
- Model type: transformers.BertModel
- Github: URL
- Google drive download link: URL
| Metrics | MRR@10 | Recall@1000 |
|:---:|:---:|:---:|
| Eval | 0.294 | - |
| Dev | 0.304 | 0.813 |