Feature Extraction
sentence-transformers
Safetensors
English
modernvbert
sparse-retrieval
splade
visual-document-retrieval
multimodal
information-retrieval
inference-free
sparse-encoder
custom_code
Instructions to use naver/v-splade-quality with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use naver/v-splade-quality with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("naver/v-splade-quality", 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
Commit History
README: library_name -> sentence-transformers; human-readable tokens in decode snippet de5b7fa verified
README: add Demo link to header + fold Space demo credit into the variant note (single blockquote) 15d683f verified
Rewrite the README very slightly 88f097a
Tom Aarsen commited on
Integrate with Sentence Transformers 3a9ea27
Tom Aarsen commited on