Sentence Similarity
sentence-transformers
Safetensors
English
qwen3
feature-extraction
code-retrieval
embeddings
text-embeddings-inference
Instructions to use aysinghal/ide-code-retrieval-qwen3-0.6b-ebs128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use aysinghal/ide-code-retrieval-qwen3-0.6b-ebs128 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("aysinghal/ide-code-retrieval-qwen3-0.6b-ebs128") 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:
- d62484fd75fd6c2ece9e689988ae1f0ae0d7b198bb38b4f57c21d47d9801fd69
- Size of remote file:
- 11.4 MB
- SHA256:
- 642b05b6b6732f9ef1189d89d58c713112ac377bc857b9633423ced970a111ae
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