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: dedupe Try-it-live note from PR merge; add sparse-encoder tag for the SparseEncoder widget snippet
Browse files
README.md
CHANGED
|
@@ -10,6 +10,7 @@ tags:
|
|
| 10 |
- information-retrieval
|
| 11 |
- inference-free
|
| 12 |
- sentence-transformers
|
|
|
|
| 13 |
pipeline_tag: feature-extraction
|
| 14 |
library_name: sentence-transformers
|
| 15 |
---
|
|
@@ -26,8 +27,6 @@ library_name: sentence-transformers
|
|
| 26 |
>
|
| 27 |
> 🚀 **Try it live:** an [interactive demo](https://huggingface.co/spaces/hugging-apps/v-splade-document-retrieval) of the `Quality` variant, kindly contributed by [Apolinário](https://huggingface.co/multimodalart) and the Hugging Face open-source team.
|
| 28 |
|
| 29 |
-
> 🚀 **Try it live:** an interactive demo of the `Quality` variant is available as a [Hugging Face Space](https://huggingface.co/spaces/hugging-apps/v-splade-document-retrieval) (see [`naver/v-splade-quality`](https://huggingface.co/naver/v-splade-quality)), kindly contributed by [Apolinário](https://huggingface.co/multimodalart) and the Hugging Face open-source team.
|
| 30 |
-
|
| 31 |
## Model Summary
|
| 32 |
|
| 33 |
**V-SPLADE** is a **0.25B (250M) inference-free sparse retriever** for visual-document retrieval — retrieving image-based document pages (rendered PDFs, slides, scanned reports) from a text query.
|
|
|
|
| 10 |
- information-retrieval
|
| 11 |
- inference-free
|
| 12 |
- sentence-transformers
|
| 13 |
+
- sparse-encoder
|
| 14 |
pipeline_tag: feature-extraction
|
| 15 |
library_name: sentence-transformers
|
| 16 |
---
|
|
|
|
| 27 |
>
|
| 28 |
> 🚀 **Try it live:** an [interactive demo](https://huggingface.co/spaces/hugging-apps/v-splade-document-retrieval) of the `Quality` variant, kindly contributed by [Apolinário](https://huggingface.co/multimodalart) and the Hugging Face open-source team.
|
| 29 |
|
|
|
|
|
|
|
| 30 |
## Model Summary
|
| 31 |
|
| 32 |
**V-SPLADE** is a **0.25B (250M) inference-free sparse retriever** for visual-document retrieval — retrieving image-based document pages (rendered PDFs, slides, scanned reports) from a text query.
|