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:
- d451709cbf6c182126debd142e092caf9568dfc594399e865eb69578b5ddccbc
- Size of remote file:
- 1.21 GB
- SHA256:
- 8dfb90d0a72acf5b275497d088080acaf2627411c2a86d57639ec15bc457822d
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