reranker-bert-tiny-gooaq-bce download | Hugging Bay

Q: What is this model?

cross-encoder-testing/reranker-bert-tiny-gooaq-bce is an open-weights language model for text ranking published by cross-encoder-testing, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for text ranking: cross-encoder-testing/reranker-bert-tiny-gooaq-bce · 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: 18.5 MB. The recommended download, model.safetensors, is 17.5 MB.

Q: What can I download here?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 18.5 MB. The original release is at https://huggingface.co/cross-encoder-testing/reranker-bert-tiny-gooaq-bce.

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-cross-encoder-testing-reranker-bert-tiny-gooaq-bce/safety on Hugging Bay.

Q: Will cross-encoder-testing/reranker-bert-tiny-gooaq-bce 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.

cross-encoder-testing

reranker-bert-tiny-gooaq-bce

cross-encoder-testing/reranker-bert-tiny-gooaq-bce

Model details

text rankingLicense: apache-2.0Hashes recordedsafetensors

Content controls: not assessed.

The catalog lists this model for ranking text against a query. Catalog sources: license, cardMetadata.license, baseModel, tags, task, cardMetadata.pipelineTag.

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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-cross-encoder-testing-reranker-bert-tiny-gooaq-bce/model.safetensors",
    "model.safetensors",
)

Other ways

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8 hosted of 9 listed · Hashes recorded. Date not recorded.

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

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Check your download →

Compare your file’s SHA-256 with the recorded hash.

8 hosted of 9 listed

Hashes recorded. Date not recorded.

File	Tamanho	SHA-256	Origem	Baixar
Weights
`model.safetensors` Default	17.5 MB	`1e29bb77…cf472cc1` `1e29bb7709134dfc7b374375802767c4cbed41dfff30eee538b951bfcf472cc1`	Hosted	Baixar
Tokenizer & config
`config.json`	773 bytes	`8113748e…7d451932` `8113748e7135ebc33f052461c81a15b2565af6eb1056f4a5ba2d835d7d451932`	Hosted	Baixar
`special_tokens_map.json`	732 bytes	`5aa43c2f…b895b140` `5aa43c2f985a25296d5a5ce621c2f77376ca8091a47993c492fd5460b895b140`	Hosted	Baixar
`tokenizer.json`	711.6 KB	`91f1def9…911a1854` `91f1def9b9391fdabe028cd3f3fcc4efd34e5d1f08c3bf2de513ebb5911a1854`	Hosted	Baixar
`tokenizer_config.json`	1.53 KB	`27fd346f…3d78cf6c` `27fd346fd1b42decf1565aa24cf83df8519012731031bb0432a53fbf3d78cf6c`	Hosted	Baixar
`train_script.py`	7.16 KB	`699135d8…5c0ecc6b` `699135d8aeeecc2f2dd624efdff869f5bf7f7c17290fb1d6a79f50695c0ecc6b`	Hosted	Baixar
`vocab.txt`	231.5 KB	`07eced37…992038a3` `07eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3`	Hosted	Baixar
Docs
`.gitattributes`	1.52 KB	`11ad7efa…8a023361` `11ad7efa24975ee4b0c3c3a38ed18737f0658a5f75a0a96787b576a78a023361`	Upstream only	File metadata
`README.md`	19.7 KB	`8da80f47…029c5f18` `8da80f47e4208e9002ab773176eabf1aa7f60692521f4c592d92a467029c5f18`	Hosted	Baixar

Verificar um download

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

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shasum -a 256 -- 'model.safetensors'

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sha256sum -- 'model.safetensors'

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

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reranker-bert-tiny-gooaq-bce

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