Sentence Similarity
sentence-transformers
Safetensors
gemma3_text
feature-extraction
text-embeddings-inference
Instructions to use AshwinKM2005/github-duplicates-bi-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use AshwinKM2005/github-duplicates-bi-encoder with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("AshwinKM2005/github-duplicates-bi-encoder") 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:
- f0c1c47d336fb258ab1e1227a197d6c681b8b15256a1d3d28991a08bee7210b5
- Size of remote file:
- 9.44 MB
- SHA256:
- c327f2acb00149676ade24a75e11eb6ebbd367f9ee050267ba56829d2979f702
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