Sentence Similarity
sentence-transformers
Safetensors
Vietnamese
English
xlm-roberta
mathematics
vietnamese
smart-binary-classification
intelligent-negatives
balanced-training
hard-negatives
e5-base
precision-recall-balance
text-embeddings-inference
Instructions to use ThanhLe0125/e5-math-smart-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ThanhLe0125/e5-math-smart-binary with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ThanhLe0125/e5-math-smart-binary") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Smart Binary E5-Math Model - MRR: 0.9526 (+0.0414), Hit@3: 1.0000 (+0.0000) - 2025-07-02
18d7e32 verified - Xet hash:
- df5b24c26f5f9da78cbf1828e6d173d37fae930f040361b03bd3b564fc9b3d4c
- Size of remote file:
- 17.1 MB
- SHA256:
- 8dcca5f037c4beb22bb95e204a945e0640e93d283ce622febe906fdf25a146d9
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