splade-bert-tiny-nq-onnx safetensors download | Hugging Bay

Q: What is this model?

sparse-encoder-testing/splade-bert-tiny-nq-onnx is an embedding model for text embeddings published by sparse-encoder-testing, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for feature extraction: sparse-encoder-testing/splade-bert-tiny-nq-onnx · sentence transformers

Q: Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 52 MB. The recommended download, model.safetensors, is 17.7 MB.

Q: What can I download here?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 52 MB. The original release is at https://huggingface.co/sparse-encoder-testing/splade-bert-tiny-nq-onnx.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 8 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-sparse-encoder-testing-splade-bert-tiny-nq-onnx/safety on Hugging Bay.

Q: Will sparse-encoder-testing/splade-bert-tiny-nq-onnx run on my computer?

We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.

sparse-encoder-testing

splade-bert-tiny-nq-onnx

sparse-encoder-testing/splade-bert-tiny-nq-onnx

Model details

text embeddingsLicense: apache-2.0Hashes recordedsafetensors · ONNX

Content controls: not assessed.

Model from Hugging Face for feature extraction: sparse-encoder-testing/splade-bert-tiny-nq-onnx · sentence transformers

View as JSON →

Your next step

Use it from code

This Python snippet downloads the selected file. Running the model needs its own library and setup.

from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-sparse-encoder-testing-splade-bert-tiny-nq-onnx/model.safetensors",
    "model.safetensors",
)

Other ways

8 hosted of 13 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors18 MB · 1 file Download · 18 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

This check proves the file arrived unchanged.

Signed by the harbor

8 hosted of 13 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`model.safetensors` Default	17.7 MB	`ad666f44…86f61131` `ad666f447e266a0be1d4a4c941f403bfe85443fe23b289f666ec3e0386f61131`	Hosted	Download
`onnx/model.onnx`	33.4 MB	`faebc03f…bf32f490` `faebc03fe006a2feede0470af0818d08c56fc3e20220457342df57d1bf32f490`	Upstream only	File metadata
Tokenizer & config
`1_SpladePooling/config.json`	111 bytes	—	Upstream only	File metadata
`config.json`	610 bytes	`a74b6a0a…64211779` `a74b6a0af92e39de0b4589199b846ecea2e4dc80f4afda824acf073564211779`	Hosted	Download
`config_sentence_transformers.json`	292 bytes	`72f751ae…b4851d1d` `72f751ae4d6460709d49ed324ca64897d5218d39281d4eea944b8cd0b4851d1d`	Hosted	Download
`modules.json`	287 bytes	`8b7a73d0…82c55f80` `8b7a73d0383e0db8a91bc6d1cc92ce1d35b142a01a4958e9d10f011682c55f80`	Hosted	Download
`special_tokens_map.json`	732 bytes	`5aa43c2f…b895b140` `5aa43c2f985a25296d5a5ce621c2f77376ca8091a47993c492fd5460b895b140`	Hosted	Download
`tokenizer.json`	711.6 KB	`91f1def9…911a1854` `91f1def9b9391fdabe028cd3f3fcc4efd34e5d1f08c3bf2de513ebb5911a1854`	Hosted	Download
`tokenizer_config.json`	1.53 KB	`27fd346f…3d78cf6c` `27fd346fd1b42decf1565aa24cf83df8519012731031bb0432a53fbf3d78cf6c`	Hosted	Download
`vocab.txt`	231.5 KB	—	Upstream only	File metadata
`sentence_bert_config.json`	60 bytes	`9e8f7a3c…545aea10` `9e8f7a3ce4e41e26223ea64077e952095912526b1cb0fc2a81da5166545aea10`	Hosted	Download
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`README.md`	52.8 KB	—	Upstream only	File metadata

Check a download

In the folder where you saved model.safetensors, run:

macOS

shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

Compare the result with the recorded SHA-256.

splade-bert-tiny-nq-onnx

Check a download

Cookies