Sentence Similarity
sentence-transformers
PyTorch
Transformers
English
t5
text-embedding
embeddings
information-retrieval
beir
text-classification
language-model
text-clustering
text-semantic-similarity
text-evaluation
prompt-retrieval
text-reranking
feature-extraction
English
Sentence Similarity
natural_questions
ms_marco
fever
hotpot_qa
mteb
Eval Results
Inference Endpoints
Update README.md
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README.md
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embeddings = model.encode(sentences)
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print(embeddings)
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```
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The model requires sentence-transformers version 2.2.0 or newer.
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## Evaluation Results
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For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name=sentence-transformers/gtr-t5-xl)
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## Citing & Authors
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If you find this model helpful, please cite the respective publication:
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[Large Dual Encoders Are Generalizable Retrievers](https://arxiv.org/abs/2112.07899)
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embeddings = model.encode(sentences)
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print(embeddings)
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```
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