Feature Extraction
sentence-transformers
PyTorch
English
bert
splade
sparse-encoder
sparse
text-embeddings-inference
Instructions to use naver/splade-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use naver/splade-v3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("naver/splade-v3") 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] - Inference
- Notebooks
- Google Colab
- Kaggle
SPLADE-Index python package: An ultra-fast search index for SPLADE sparse retrieval models
🚀 1
1
#8 opened 11 months ago
by
rasyosef
Loading `naver/splade-v3` model from transformer python library results in `ModuleNotFoundError`
2
#7 opened about 1 year ago
by
sirfumi
Unable to load model in transformers pipeline
3
#4 opened over 1 year ago
by
stanleyt18
Adding `safetensors` variant of this model
#1 opened about 2 years ago
by
SFconvertbot