all-MiniLM-L6-v2

145.8M
4.1K
512
Small context
2 languages
INT8
—
by
sentence-transformers
Embedding Model
PYTORCH
High
145.8M downloads
Battle-tested
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Quick Summary

all-MiniLM-L6-v2 This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.

Code Examples

Usage (Sentence-Transformers)text
pip install -U sentence-transformers
python
from sentence_transformers import SentenceTransformer
sentences = ["This is an example sentence", "Each sentence is converted"]

model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')
embeddings = model.encode(sentences)
print(embeddings)

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