Feature Extraction
sentence-transformers
PyTorch
Safetensors
English
distilbert
splade
query-expansion
document-expansion
bag-of-words
passage-retrieval
knowledge-distillation
document encoder
sparse-encoder
sparse
asymmetric
text-embeddings-inference
Instructions to use naver/efficient-splade-VI-BT-large-doc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use naver/efficient-splade-VI-BT-large-doc with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("naver/efficient-splade-VI-BT-large-doc") 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
File size: 106 Bytes
fded1f0 | 1 2 3 4 5 | {
"pooling_strategy": "max",
"activation_function": "relu",
"word_embedding_dimension": null
} |