Sentence Similarity
sentence-transformers
ONNX
English
gemma3_text
embeddings
embeddinggemma-tuning-lab
sift
chrome-extension
text-embeddings-inference
Instructions to use shreyask/sift-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use shreyask/sift-finetuned with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("shreyask/sift-finetuned") 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:
- 0eba2a2f980d6750372572f73863ef45039729ed13f414124805c57e744c5711
- Size of remote file:
- 33.4 MB
- SHA256:
- 216e2a79606fe879c9f17c529c71cd241338407fd5646b595ffd3c4b9ea1d503
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