Sentence Similarity
sentence-transformers
Safetensors
English
feature-extraction
Generated from Trainer
dataset_size:4373977
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
Instructions to use LocalWisdom/PurpleStatic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use LocalWisdom/PurpleStatic with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("LocalWisdom/PurpleStatic") sentences = [ "crack", "master", "Academic journals often publish both print editions and digital versions simultaneously.", "ceramic ware" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
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- How do I write a song?
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pipeline_tag: sentence-similarity
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library_name: sentence-transformers
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---
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# PurpleStatic: Static Embeddings
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- How do I write a song?
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pipeline_tag: sentence-similarity
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library_name: sentence-transformers
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model-index:
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- name: PurpleStatic
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results:
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- task:
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type: sentence-similarity
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dataset:
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name: STSBenchmark
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type: mteb
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metrics:
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- name: pass@1
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type: pass@1
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value: 0.550741
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verified: false
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- task:
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type: sentence-similarity
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dataset:
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name: STSBenchmark.v2
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type: mteb
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metrics:
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- name: pass@1
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type: pass@1
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value: 0.5972485
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verified: false
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---
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# PurpleStatic: Static Embeddings
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