Sentence Similarity
sentence-transformers
Safetensors
English
qwen3
mathematics
mathlib
lean4
retrieval
contrastive-learning
feature-extraction
loss:CachedMultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use uw-math-ai/MathLeap-Octen-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use uw-math-ai/MathLeap-Octen-8B with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("uw-math-ai/MathLeap-Octen-8B") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c47ecab3f12031d54cd838d437f6e08573199fa3a51221bcd8d57766cbbda13
- Size of remote file:
- 11.4 MB
- SHA256:
- 847b917cf6522c451861ae0311905f5009df6031c8e4e600d898bff80f4251d0
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