quora-roberta-base safetensors download | Hugging Bay

Q: What is this model?

cross-encoder/quora-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: cross-encoder/quora-roberta-base

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. The full repository size is not recorded. The recommended download, model.safetensors, is 498.6 MB.

Q: What can I download here?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: unknown. The original release is at https://huggingface.co/cross-encoder/quora-roberta-base.

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-quora-roberta-base/safety on Hugging Bay.

Q: Will cross-encoder/quora-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

quora-roberta-base

cross-encoder/quora-roberta-base

Model details

text rankingLicense: apache-2.0SHA-256 recorded for 8 of 25 filessafetensors · ONNX · BIN

Content controls: not assessed.

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

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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-quora-roberta-base/model.safetensors",
    "model.safetensors",
)

Other ways

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

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

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

8 hosted of 25 listed

Hashes recorded. Date not recorded.

File	Größe	SHA-256	Quelle	Herunterladen
Weights
`model.safetensors` Default	498.6 MB	`746da6a9…c18f9148` `746da6a97a533563fac5862d54b20fe24550c3e43672ab086542cd17c18f9148`	Hosted	Herunterladen
`openvino/openvino_model.bin`	0 bytes	—	Upstream only	File metadata
`openvino/openvino_model_qint8_quantized.bin`	0 bytes	—	Upstream only	File metadata
`pytorch_model.bin`	0 bytes	—	Upstream only	File metadata
Tokenizer & config
`config.json`	608 bytes	`8c50d3f5…18e20562` `8c50d3f5de660e595ff1f94d199984de19c51d0a8e7d26e692d6c52c18e20562`	Hosted	Herunterladen
`special_tokens_map.json`	1.01 KB	`75cbec71…13f17c1c` `75cbec71553267dadc77a583ef15122c2aa7422eb6635acc72a184a413f17c1c`	Hosted	Herunterladen
`tokenizer.json`	3.56 MB	`2bb1a22c…b6620f66` `2bb1a22cfbe25b8e5a232b7fc4d7fc5073923b45724a5f813b00811bb6620f66`	Hosted	Herunterladen
`tokenizer_config.json`	1.33 KB	`fe09e6fe…65e8b165` `fe09e6fe347cc94002f77bec394efa02db0ac151393f940d0d854af765e8b165`	Hosted	Herunterladen
`vocab.json`	798.3 KB	`ed19656e…3670ab5e` `ed19656ea1707df69134c4af35c8ceda2cc9860bf2c3495026153a133670ab5e`	Hosted	Herunterladen
`merges.txt`	456.3 KB	`1ce16647…7726adc5` `1ce1664773c50f3e0cc8842619a93edc4624525b728b188a9e0be33b7726adc5`	Hosted	Herunterladen
`CEBinaryClassificationEvaluator_Quora-dev_results.csv`	0 bytes	—	Upstream only	File metadata
`flax_model.msgpack`	0 bytes	—	Upstream only	File metadata
`onnx/model.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_O1.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_O2.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_O3.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_O4.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_qint8_arm64.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_qint8_avx512.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_qint8_avx512_vnni.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_quint8_avx2.onnx`	0 bytes	—	Upstream only	File metadata
`openvino/openvino_model.xml`	0 bytes	—	Upstream only	File metadata
`openvino/openvino_model_qint8_quantized.xml`	0 bytes	—	Upstream only	File metadata
Docs
`README.md`	1.29 KB	`3951dca8…b11e4504` `3951dca8e963a200a4beead712f6e3188efebcf3d79ad8a6109cd3c1b11e4504`	Hosted	Herunterladen
`.gitattributes`	0 bytes	—	Upstream only	File metadata

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

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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.

quora-roberta-base

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