stsb-roberta-base safetensors download | Hugging Bay

Q: What is this model?

cross-encoder/stsb-roberta-base is an open-weights language model for text ranking published by cross-encoder, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for text ranking: cross-encoder/stsb-roberta-base · 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 22 listed files; full count and size unknown. Full repo upstream: 4.87 GB. The recommended download, model.safetensors, is 498.6 MB.

Q: What can I download here?

Hosted here: at least 22 listed files; full count and size unknown. Full repo upstream: 4.87 GB. The original release is at https://huggingface.co/cross-encoder/stsb-roberta-base.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 22 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-cross-encoder-stsb-roberta-base/safety on Hugging Bay.

Q: Will cross-encoder/stsb-roberta-base 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

stsb-roberta-base

cross-encoder/stsb-roberta-base

Model details

text rankingLicense: apache-2.0Hashes recordedsafetensors · ONNX · BIN

Content controls: not assessed.

Listed for ranking text against a query; for developers building search tools. Catalog sources: license, cardMetadata.license, tags, task, cardMetadata.pipelineTag.

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-cross-encoder-stsb-roberta-base/model.safetensors",
    "model.safetensors",
)

Other ways

Run it on your computerOpen in Hugging Bay appSend to a computerApp links support one GGUF file.

22 hosted of 25 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors499 MB · 1 file Download · 499 MB (1 file)

Open-file help

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Check your download →

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

22 hosted of 25 listed

Hashes recorded. Date not recorded.

File	Tamaño	SHA-256	Origen	Descargar
Weights
`model.safetensors` Default	498.6 MB	`130e4eac…b1340ef7` `130e4eac117036a5803c3f832e95185b558d341cb9c4e576975614d8b1340ef7`	Hosted	Descargar
`onnx/model.onnx`	498.9 MB	`c82166bb…c5146711` `c82166bb8dc6c022fb94e8aa7e7b0af4240cbfcbf8f29a58a5d26dcac5146711`	Hosted	Descargar
`onnx/model_O1.onnx`	498.8 MB	`2c1d4fdf…8112b9b7` `2c1d4fdfa85014dc12cf3cffd1ec7e63bee02c0c93ac17d0181732b68112b9b7`	Hosted	Descargar
`onnx/model_O2.onnx`	498.6 MB	`ae90e2d6…fb0e4baa` `ae90e2d6fd8ab7708d2a857cc8d73df004ac5547ddec0babbb1288e2fb0e4baa`	Hosted	Descargar
`onnx/model_O3.onnx`	498.6 MB	`6ff18d82…eba7d5ec` `6ff18d82c77ea2c1c63aefab366c334bd1fe122626cdacd12c375114eba7d5ec`	Hosted	Descargar
`onnx/model_O4.onnx`	249.5 MB	`82678eb4…c45ed99c` `82678eb4507e362812e44a803a7f2d3849f58f03ae22035e3fc4b6c3c45ed99c`	Hosted	Descargar
`onnx/model_qint8_arm64.onnx`	126 MB	`8b44d8ff…a5ddbd16` `8b44d8ffa6775a7712e9f592b8a33162b3c183fedaeb2399bd0e2e40a5ddbd16`	Hosted	Descargar
`onnx/model_qint8_avx512.onnx`	126 MB	`8b44d8ff…a5ddbd16` `8b44d8ffa6775a7712e9f592b8a33162b3c183fedaeb2399bd0e2e40a5ddbd16`	Upstream only	File metadata
`onnx/model_qint8_avx512_vnni.onnx`	126 MB	`8b44d8ff…a5ddbd16` `8b44d8ffa6775a7712e9f592b8a33162b3c183fedaeb2399bd0e2e40a5ddbd16`	Upstream only	File metadata
`onnx/model_quint8_avx2.onnx`	126 MB	`ecca55ec…dffd38ce` `ecca55ec425a68accbb9796cf65351332d9e5cdb42a291f66a90b6e9dffd38ce`	Hosted	Descargar
`openvino/openvino_model.bin`	498.6 MB	`4153ca39…77921bca` `4153ca3905be859cb0d13e718fdf31413c569b00a0c3f7b3875f485377921bca`	Hosted	Descargar
`openvino/openvino_model_qint8_quantized.bin`	125.8 MB	`fc01458a…8e7dad21` `fc01458a7eef642064bbefbc7c84f867b3eaec921468520821332f428e7dad21`	Hosted	Descargar
`pytorch_model.bin`	498.7 MB	`bd8cddb9…c56711d2` `bd8cddb9f6ddf924f91a1cc3c2bf83973a483a936654259d389ed1e7c56711d2`	Hosted	Descargar
Tokenizer & config
`CECorrelationEvaluator_sts-dev_results.csv`	310 bytes	`c205711d…ef34c6d8` `c205711dba4dac59b2730e4b87e14213d2368362e3f3e601e0741eedef34c6d8`	Hosted	Descargar
`config.json`	608 bytes	`8c50d3f5…18e20562` `8c50d3f5de660e595ff1f94d199984de19c51d0a8e7d26e692d6c52c18e20562`	Hosted	Descargar
`flax_model.msgpack`	498.6 MB	`768905d4…3875283f` `768905d4b87ebefec4c819d9a36518802db21df7fc2d9e8ce7cb47ed3875283f`	Hosted	Descargar
`merges.txt`	456.3 KB	`1ce16647…7726adc5` `1ce1664773c50f3e0cc8842619a93edc4624525b728b188a9e0be33b7726adc5`	Hosted	Descargar
`openvino/openvino_model.xml`	389.6 KB	`3cee6cc3…f8cb7c1b` `3cee6cc3bc6f8935fc37cc7781bbddc3c5b5281ff861acca534559a2f8cb7c1b`	Hosted	Descargar
`openvino/openvino_model_qint8_quantized.xml`	710.7 KB	`fe72dc21…103dab2b` `fe72dc21230a3d8b5b5df6c39ab97059f1b52cb9675e6036b2cc9893103dab2b`	Hosted	Descargar
`special_tokens_map.json`	1.01 KB	`75cbec71…13f17c1c` `75cbec71553267dadc77a583ef15122c2aa7422eb6635acc72a184a413f17c1c`	Hosted	Descargar
`tokenizer.json`	3.56 MB	`2bb1a22c…b6620f66` `2bb1a22cfbe25b8e5a232b7fc4d7fc5073923b45724a5f813b00811bb6620f66`	Hosted	Descargar
`tokenizer_config.json`	1.33 KB	`fe09e6fe…65e8b165` `fe09e6fe347cc94002f77bec394efa02db0ac151393f940d0d854af765e8b165`	Hosted	Descargar
`vocab.json`	798.3 KB	`ed19656e…3670ab5e` `ed19656ea1707df69134c4af35c8ceda2cc9860bf2c3495026153a133670ab5e`	Hosted	Descargar
Docs
`.gitattributes`	445 bytes	`98c91dab…927304c1` `98c91dabef4df27b2fc7c8454d220aba47476f73593cbd034d961fe4927304c1`	Upstream only	File metadata
`README.md`	1.14 KB	`bfdfd87a…54b3b1e6` `bfdfd87a1a11cabb2907c7e77866918e075e77690996605539ec7b5d54b3b1e6`	Hosted	Descargar

Comprobar una descarga

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.

stsb-roberta-base

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