e5-base-korean safetensors download (1.11 GB) | Hugging Bay

Q: What is this model?

upskyy/e5-base-korean is an embedding model for sentence similarity and retrieval published by upskyy, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for sentence similarity: upskyy/e5-base-korean · sentence transformers

Q: Can I use it commercially?

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

Q: How big is it?

Hosted here: 10 files, 1.13 GB. Full repo upstream: 1.13 GB. The recommended download, model.safetensors, is 1.11 GB.

Q: What can I download here?

Hosted here: 10 files, 1.13 GB. Full repo upstream: 1.13 GB. The original release is at https://huggingface.co/upskyy/e5-base-korean.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 10 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-upskyy-e5-base-korean/safety on Hugging Bay.

Q: Will upskyy/e5-base-korean 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.

upskyy

e5-base-korean

upskyy/e5-base-korean

Model details

sentence similarity and retrievalLicense: mitSHA-256 recorded for 10 of 11 filessafetensors

Content controls: not assessed.

The catalog lists this model for checking whether two sentences mean similar things. Catalog sources: license, cardMetadata.license, baseModel, 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-upskyy-e5-base-korean/model.safetensors",
    "model.safetensors",
)

Other ways

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10 hosted of 11 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors1.11 GB · 1 file Download · 1.11 GB (1 file)

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

10 hosted of 11 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`model.safetensors` Default	1.11 GB	`427570b1…3af178e6` `427570b1987be1bdfacdf9425d41bc941cdbb935a079d4d7f692cbdb3af178e6`	Hosted	Download
Tokenizer & config
`1_Pooling/config.json`	296 bytes	`1c8bc7bd…e154ec1c` `1c8bc7bd750c5c20d8707f1c5c578f5d69bb3d1d5ebcf4b2fde5128de154ec1c`	Hosted	Download
`config.json`	662 bytes	`9d0a17e4…0bbe2d67` `9d0a17e4cd6618554be1f9a0e23b0e012b5e9954ff76abf5941dcb340bbe2d67`	Hosted	Download
`modules.json`	229 bytes	`8f4b264b…b3145460` `8f4b264b80206c830bebbdcae377e137925650a433b689343a63bdc9b3145460`	Hosted	Download
`sentence_bert_config.json`	53 bytes	`ec8e29d6…5a8d0d51` `ec8e29d6dcb61b611b7d3fdd2982c4524e6ad985959fa7194eacfb655a8d0d51`	Hosted	Download
`sentencepiece.bpe.model`	5.07 MB	`cfc8146a…e0db2865` `cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865`	Hosted	Download
`special_tokens_map.json`	964 bytes	`8c785abe…4cf10835` `8c785abebea9ae3257b61681b4e6fd8365ceafde980c21970d001e834cf10835`	Hosted	Download
`tokenizer.json`	17.1 MB	`883b0371…0f137085` `883b037111086fd4dfebbbc9b7cee11e1517b5e0c0514879478661440f137085`	Hosted	Download
`tokenizer_config.json`	1.15 KB	`f9002414…ff90f737` `f90024142df07163e5e6c5b9a6ad7c8c68b22a9112af11e3db4559a9ff90f737`	Hosted	Download
Docs
`.gitattributes`	1.57 KB	—	Upstream only	File metadata
`README.md`	9.76 KB	`80c7dc80…cb25c3cf` `80c7dc806d6a01587374c1799d2d87590fb52a14b016679e9d53ff8bcb25c3cf`	Hosted	Download

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.

e5-base-korean

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