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 (legacy)
Commit ·
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Parent(s): 20071f8
Update README.md
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README.md
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## Clustering
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Use **customized embeddings** for clustering texts in groups.
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```python
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import sklearn
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sentences = [['Represent the Medicine sentence for clustering; Input: ','Dynamical Scalar Degree of Freedom in Horava-Lifshitz Gravity', 0],
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['Represent the Medicine sentence for clustering; Input: ','Comparison of Atmospheric Neutrino Flux Calculations at Low Energies', 0],
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['Represent the Medicine sentence for clustering; Input: ','Fermion Bags in the Massive Gross-Neveu Model', 0],
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## Clustering
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Use **customized embeddings** for clustering texts in groups.
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```python
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import sklearn.cluster
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sentences = [['Represent the Medicine sentence for clustering; Input: ','Dynamical Scalar Degree of Freedom in Horava-Lifshitz Gravity', 0],
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['Represent the Medicine sentence for clustering; Input: ','Comparison of Atmospheric Neutrino Flux Calculations at Low Energies', 0],
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['Represent the Medicine sentence for clustering; Input: ','Fermion Bags in the Massive Gross-Neveu Model', 0],
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