Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
text-embeddings-inference
Instructions to use pranay-j/quora-query-aligner-matryoshka with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use pranay-j/quora-query-aligner-matryoshka with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("pranay-j/quora-query-aligner-matryoshka") 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:
- 9d86c05a074b2722742cc11175bd209a1c2fdbd521a2caba99e7c058ce6cf162
- Size of remote file:
- 2.36 MB
- SHA256:
- 2be21bf69354047e4604a7b625ff6aceb0e3b570106483e4bf3ccf728b039c81
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