Sentence Similarity
sentence-transformers
Safetensors
English
bert
feature-extraction
information-retrieval
sutd
text-embeddings-inference
Instructions to use henreads/sutd-bge-large-aug98 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use henreads/sutd-bge-large-aug98 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("henreads/sutd-bge-large-aug98") 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:
- d58397a11226dd67a59de44160d4babca8c374b305478f9358ef9f706c188efe
- Size of remote file:
- 1.34 GB
- SHA256:
- 590bc32197d3666da6831e18a6459dc06b1ddfe1d11a8e29c3051c529cb131bf
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