Sentence Similarity
sentence-transformers
PyTorch
Vietnamese
English
xlm-roberta
embedding
math
vietnamese
multilingual
e5
text-embeddings-inference
Instructions to use ThanhLe0125/e5-base-math with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ThanhLe0125/e5-base-math with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ThanhLe0125/e5-base-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
- Xet hash:
- ddd6dc0a04a790ef8d9000b8f3760cb230ae6175ec49b0b92eeb8ac0cbca8331
- Size of remote file:
- 1.11 GB
- SHA256:
- 88463fe8546d89b0cf5c40096356cbadaa2feb8f10ceb2690ac57bff220751bf
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