metadata
license: cc-by-nc-sa-4.0
tags:
- sentence-transformers
- splade
- sparse-encoder
- code
pipeline_tag: feature-extraction
SPLADE-Code-06B is a sparse retrieval model designed for code retrieval tasks. It is the top-performing models on MTEB for models below 1B (at time of writing, Feb 2026).
Usage
Using Sentence Transformers
Install Sentence Transformers:
pip install sentence_transformers
from sentence_transformers import SparseEncoder
model = SparseEncoder("naver/splade-code-06B", trust_remote_code=True)
queries = [
"SELECT *\nFROM Student\nWHERE Age = (\nSELECT MAX(Age)\nFROM Student\nWHERE Group = 'specific_group'\n)\nAND Group = 'specific_group';"
]
query_embeddings = model.encode(queries)
print(query_embeddings.shape)
# torch.Size([1, 151936])
sparsity = model.sparsity(query_embeddings)
print(sparsity)
# {'active_dims': 1231.0, 'sparsity_ratio': 0.991897904380792}
decoded = model.decode(query_embeddings, top_k=10)
print(decoded)
# [[
# ("Ġgroup", 2.34375),
# ("Ġage", 2.34375),
# ("ĠAge", 2.34375),
# ("ĠStudent", 2.296875),
# ("Ġspecific", 2.296875),
# ("_group", 2.296875),
# ("ĠMax", 2.21875),
# ("Ġmax", 2.21875),
# ("Ġstudent", 2.203125),
# ("ĠGroup", 2.1875),
# ]]