Sentence Similarity
sentence-transformers
Safetensors
Ukrainian
qwen3
feature-extraction
text-embeddings-inference
Instructions to use G37A/Qwen3-Embedding-0.6B-80k-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use G37A/Qwen3-Embedding-0.6B-80k-squad with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("G37A/Qwen3-Embedding-0.6B-80k-squad") 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:
- 10e9f42de5db442b81b3704eee5ebe8b53a2e9485eb33a2241c64e1edf0e27b1
- Size of remote file:
- 11.4 MB
- SHA256:
- 36c265fe8f10d5b1f2487da8317fcf39076daf9204658d68e2e2e800a77d39bc
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