smaller-LaBSE safetensors download (877 MB) | Hugging Bay

Q: What is this model?

setu4993/smaller-LaBSE is an embedding model for sentence similarity and retrieval published by setu4993, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for sentence similarity: setu4993/smaller-LaBSE · 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 7 listed files; full count and size unknown. Full repo upstream: 3.51 GB. The recommended download, model.safetensors, is 876.7 MB.

Q: What can I download here?

Hosted here: at least 7 listed files; full count and size unknown. Full repo upstream: 3.51 GB. The original release is at https://huggingface.co/setu4993/smaller-LaBSE.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 7 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-setu4993-smaller-labse/safety on Hugging Bay.

Q: Will setu4993/smaller-LaBSE 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.

setu4993

smaller-LaBSE

setu4993/smaller-LaBSE

Model details

sentence similarity and retrievalLicense: apache-2.0SHA-256 recorded for 10 of 11 filessafetensors · BIN · H5

Content controls: not assessed.

Listed for turning text into vectors; for developers building text similarity tools. Catalog sources: license, cardMetadata.license, tags, task, cardMetadata.pipelineTag.

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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-setu4993-smaller-labse/model.safetensors",
    "model.safetensors",
)

Other ways

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

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

Selected downloadmodel.safetensors877 MB · 1 file Download · 877 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

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

7 hosted of 11 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`model.safetensors` Default	876.7 MB	`ac3e4f49…198a73e8` `ac3e4f496301831864cd5da87f7f6fc0a9402eff2ff33f8da438fea4198a73e8`	Hosted	Download
`pytorch_model.bin`	876.8 MB	`86df18d5…c5183ecc` `86df18d5ac34c03f0da7b6e205fc6f0a8948553ec6e8f06ef6f9382bc5183ecc`	Upstream only	File metadata
Tokenizer & config
`config.json`	611 bytes	`a5554d0b…acfdddb3` `a5554d0b9e3af85061b39e5606207f77fd745b1399327218f33b55deacfdddb3`	Hosted	Download
`flax_model.msgpack`	876.7 MB	`fd35ca85…ef327816` `fd35ca85ae5361125c52f076201ceee53a8f7b6b95923740707adb2cef327816`	Upstream only	File metadata
`tf_model.h5`	877 MB	`356cd054…fd2fdd81` `356cd054af00f8c1165bbab2eb8440e927fc5a0a352dc34f9fd9ae50fd2fdd81`	Upstream only	File metadata
`tokenizer.json`	4.31 MB	`d783017e…22994321` `d783017eaa6381ba32bfeeebb1d1f4d194127f88c57eb83e2b0f64aa22994321`	Hosted	Download
`tokenizer_config.json`	367 bytes	`e6f3b96d…18d75f5a` `e6f3b96db926a37d4039995fbf5ad17de158dfb8f6343d607e4dbaad18d75f5a`	Hosted	Download
`vocab.txt`	1.47 MB	`74588ae1…72e4cc20` `74588ae16972f5892be6fc3635090c8db7432fc617fc25cc024dc57d72e4cc20`	Hosted	Download
`special_tokens_map.json`	125 bytes	`b6d346be…76237ee3` `b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3`	Hosted	Download
Docs
`.gitattributes`	1.23 KB	—	Upstream only	File metadata
`README.md`	3.54 KB	`e70cb6d5…8f6d82f6` `e70cb6d513d4a852c94f5f2725438d1c84ec5ebf2e6e4308f97b0bbe8f6d82f6`	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.

smaller-LaBSE

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