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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7f0ed915194e994af8762c3a4ca00e740f9355f6af589170ab18b045d65f358f
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size 1112197096
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