Sentence Similarity
sentence-transformers
PyTorch
ONNX
Safetensors
OpenVINO
Transformers
bert
feature-extraction
text-embeddings-inference
Instructions to use sentence-transformers/msmarco-bert-co-condensor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sentence-transformers/msmarco-bert-co-condensor with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sentence-transformers/msmarco-bert-co-condensor") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Transformers
How to use sentence-transformers/msmarco-bert-co-condensor with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sentence-transformers/msmarco-bert-co-condensor") model = AutoModel.from_pretrained("sentence-transformers/msmarco-bert-co-condensor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
update readme
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README.md
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## Evaluation
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| Model | MS MARCO Dev (MRR@10) | TREC DL 2019 | TREC DL 2020 | FiQA (NDCG@10) | TREC COVID (NDCG@10) | TREC News (NDCG@10) | TREC Robust04 (NDCG@10) |
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| ----- | :-------------------: | :----------: | :----------: | :------------: | :------------------: | :-----------------: | :--------------------: |
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| [msmarco-roberta-base-ance-firstp](https://huggingface.co/sentence-transformers/msmarco-roberta-base-ance-firstp) | 33.01 | 67.84 | 66.04 | 29.5 | 67.12 | 38.2 | 39.2 |
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## Evaluation
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| Model | MS MARCO Dev (MRR@10) | TREC DL 2019 | TREC DL 2020 | FiQA (NDCG@10) | TREC COVID (NDCG@10) | TREC News (NDCG@10) | TREC Robust04 (NDCG@10) |
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| ----- | :-------------------: | :----------: | :----------: | :------------: | :------------------: | :-----------------: | :--------------------: |
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| [msmarco-roberta-base-ance-firstp](https://huggingface.co/sentence-transformers/msmarco-roberta-base-ance-firstp) | 33.01 | 67.84 | 66.04 | 29.5 | 67.12 | 38.2 | 39.2 |
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