Feature Extraction
sentence-transformers
Safetensors
OpenVINO
English
bert
sparse-encoder
sparse
splade
Generated from Trainer
dataset_size:99000
loss:SpladeLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use sparse-encoder-testing/splade-bert-tiny-nq-openvino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sparse-encoder-testing/splade-bert-tiny-nq-openvino with sentence-transformers:
from sentence_transformers import SparseEncoder model = SparseEncoder("sparse-encoder-testing/splade-bert-tiny-nq-openvino") queries = ["Which planet is known as the Red Planet?"] documents = [ "Venus is often called Earth's twin because of its similar size and proximity.", "Mars, known for its reddish appearance, is often referred to as the Red Planet.", "Jupiter, the largest planet in our solar system, has a prominent red spot.", ] query_embeddings = model.encode_query(queries) document_embeddings = model.encode_document(documents) similarities = model.similarity(query_embeddings, document_embeddings) print(similarities) - Notebooks
- Google Colab
- Kaggle
Download openvino/openvino_model.bin from sparse-encoder-testing/splade-bert-tiny-nq-openvino: direct link, hf CLI and curl.
- Browser
- Download file 17.7 MB
-
https://huggingface.co/sparse-encoder-testing/splade-bert-tiny-nq-openvino/resolve/main/openvino/openvino_model.bin
- Command line
-
hf download hf://sparse-encoder-testing/splade-bert-tiny-nq-openvino/openvino/openvino_model.bin
-
curl -L -o openvino_model.bin https://huggingface.co/sparse-encoder-testing/splade-bert-tiny-nq-openvino/resolve/main/openvino/openvino_model.bin
17.7 MB
- Xet hash:
- 027dfb55af52235d993f30a226fce28c00407e4203611aaface3f33f3d32c497
- Size of remote file:
- 17.7 MB
- SHA256:
- e35d9ec9d7f663c9bb605cc8c30a4a0c13eccc34f6401c9484c1392ef6c90ad8
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