Sentence Similarity
sentence-transformers
PyTorch
Vietnamese
English
xlm-roberta
mathematics
vietnamese
exact-chunk-retrieval
hierarchical-learning
e5-base
mrr-optimization
fine-tuned
model-comparison
text-embeddings-inference
Instructions to use ThanhLe0125/e5-math with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ThanhLe0125/e5-math with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ThanhLe0125/e5-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
Download tokenizer.json from ThanhLe0125/e5-math: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/ThanhLe0125/e5-math/resolve/main/tokenizer.json
- Command line
-
hf download hf://ThanhLe0125/e5-math/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ThanhLe0125/e5-math/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- e593bcd3e1e27df60ae44019481d08e91d00e1082b46017027bdf4c48bef840d
- Size of remote file:
- 17.1 MB
- SHA256:
- 065854c334ebd3edacd11072e41985f97df74967657f2d6e4fb0be122e8d1613
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