Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
feature-extraction
matryoshka
embeddings
Eval Results (legacy)
text-embeddings-inference
Instructions to use hasankursun/matryoshka-embedding-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use hasankursun/matryoshka-embedding-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("hasankursun/matryoshka-embedding-v1") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73a563baf68d51e5cf2e28fc8a7d5887633303c074a7029c1fdcd02a0c8ef954
- Size of remote file:
- 17.1 MB
- SHA256:
- e4f7e21bec3fb0044ca0bb2d50eb5d4d8c596273c422baef84466d2c73748b9c
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