Feature Extraction
sentence-transformers
ONNX
nomic_bert
sentence-similarity
code-search
on-device
custom_code
text-embeddings-inference
Instructions to use KingLLM/nomic-codesearch-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use KingLLM/nomic-codesearch-onnx with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("KingLLM/nomic-codesearch-onnx", trust_remote_code=True) 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:
- f084dca8751ef78467896906ed67c67829252900415504b38d3e28dc39e9aed3
- Size of remote file:
- 548 MB
- SHA256:
- 9df32526aed1600aeed48e405a514b2a5b5d03eeb2ab01de6a9d8fbfa47a50b8
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