Sentence Similarity
sentence-transformers
PyTorch
Vietnamese
English
bert
mathematics
vietnamese
exact-chunk-retrieval
hierarchical-learning
e5-base
mrr-optimization
fine-tuned
model-comparison
text-embeddings-inference
Instructions to use ThanhLe0125/e5-small-math with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ThanhLe0125/e5-small-math with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ThanhLe0125/e5-small-math") 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
MRR-optimized E5-Math - Test MRR: 0.8241167434715821 (avg rank: 1.2134203168685929) - 25/06/2025
4d687ae verified - Xet hash:
- 11ffbadd872f17242b784e0cb21576f711d2d668505368f2094953ccd94f1afe
- Size of remote file:
- 17.1 MB
- SHA256:
- 69c6c5d336b212a1c56cee72406ee4fbceff37e18a27ca9c66b13dac75a798df
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