Feature Extraction
sentence-transformers
PyTorch
ONNX
English
bert
splade++
document-expansion
sparse representation
bag-of-words
passage-retrieval
knowledge-distillation
document encoder
sparse-encoder
sparse
splade
text-embeddings-inference
Instructions to use prithivida/Splade_PP_en_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use prithivida/Splade_PP_en_v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("prithivida/Splade_PP_en_v2") 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

- Xet hash:
- d03b0fb6546b4b19f38bb2b13d9df91fb0076e420e1ad55bab120ff3f82d1f16
- Size of remote file:
- 786 kB
- SHA256:
- d1211732aa739c0451479387937a1367953082961549b0bbadd2bc43bd6f4fea
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