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-efficient with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use naver/v-splade-efficient with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("naver/v-splade-efficient", 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
README: add sparse-encoder tag so the Hub widget shows the SparseEncoder snippet
Browse files
README.md
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- information-retrieval
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- inference-free
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- sentence-transformers
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pipeline_tag: feature-extraction
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library_name: sentence-transformers
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---
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- information-retrieval
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- inference-free
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- sentence-transformers
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- sparse-encoder
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pipeline_tag: feature-extraction
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library_name: sentence-transformers
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---
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