aiq-scoring-e5-small
91
โ
by
Miya67
Embedding Model
OTHER
New
91 downloads
Early-stage
Edge AI:
Mobile
Laptop
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Mobile
Laptop
Server
Quick Summary
AI model with specialized capabilities.
Code Examples
Usagebash
pip install -U sentence-transformersUsagepython
from sentence_transformers import SentenceTransformer
# Download from the ๐ค Hub
model = SentenceTransformer("Miya67/aiq-scoring-e5-small")
# Run inference
sentences = [
'query: ๅ้ก: ใๆๆฉ็ฉใใ็กๆฉ็ฉใใชใฉใจใใใจใใฎๆๆฉใป็กๆฉใจใฏใใฉใใช็ฉ่ณชใฎๆ็กใใใฃใใใฎใงใใใ? ๅ็ญ: ใใใ',
'query: ๅ้ก: ใๆๆฉ็ฉใใ็กๆฉ็ฉใใชใฉใจใใใจใใฎๆๆฉใป็กๆฉใจใฏใใฉใใช็ฉ่ณชใฎๆ็กใใใฃใใใฎใงใใใ? ๅ็ญ: ใใใ',
'query: ๅ้ก: ใๆๆฉ็ฉใใ็กๆฉ็ฉใใชใฉใจใใใจใใฎๆๆฉใป็กๆฉใจใฏใใฉใใช็ฉ่ณชใฎๆ็กใใใฃใใใฎใงใใใ? ๅ็ญ: ใใกใฃใ',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 384]
# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities)
# tensor([[1.0000, 1.0000, 0.4022],
# [1.0000, 1.0000, 0.4022],
# [0.4022, 0.4022, 1.0000]])Deploy This Model
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