MiniLM_ISSIBSNFSe_V1-0

1
—
by
MacedoR
Embedding Model
OTHER
2B params
New
0 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
5GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
2GB+ RAM

Code Examples

Usagebash
pip install -U sentence-transformers
Usagepython
from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("sentence_transformers_model_id")
# Run inference
sentences = [
    'O que é a RMIT?',
    'Estrutura lógica: Se (fato gerador) Então (relação jurídica obrigacional)',
    'Critério Espacial IBS: São Paulo (Destino/Consumo)',
]
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, 0.9486, 0.7239],
#         [0.9486, 1.0000, 0.7396],
#         [0.7239, 0.7396, 1.0000]])

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