Feature Extraction
sentence-transformers
PyTorch
English
distilbert
splade
query-expansion
document-expansion
bag-of-words
passage-retrieval
sparse-encoder
sparse
Instructions to use naver/splade_v2_max with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use naver/splade_v2_max with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("naver/splade_v2_max") 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
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2537ef9b256ab5bcbcc6c016225aa730263b870380b8c74396ad1b4b51f91f7b
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size 267954840
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