sft-sql-embedding safetensors download | Hugging Bay

Q: What is this model?

s2593817/sft-sql-embedding is an embedding model for sentence similarity and retrieval published by s2593817, added to Hugging Bay Sep 21, 2026. Model from Hugging Face for sentence similarity: s2593817/sft-sql-embedding · sentence transformers

Q: Can I use it commercially?

License: unknown. Check the upstream license text or ask the model author before commercial use.

Q: How big is it?

Hosted here: 8 files, 438.7 MB. Full repo upstream: 438.9 MB. The recommended download, model.safetensors, is 438 MB.

Q: What can I download here?

Hosted here: 8 files, 438.7 MB. Full repo upstream: 438.9 MB.

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-s2593817-sft-sql-embedding/safety on Hugging Bay.

Q: Will s2593817/sft-sql-embedding 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.

s2593817

sft-sql-embedding

s2593817/sft-sql-embedding

Model details

sentence similarity and retrievalLicense: unknownSHA-256 recorded for 8 of 12 filessafetensors

Content controls: not assessed.

Listed for comparing sentences; for developers building text similarity tools. Catalog sources: 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-s2593817-sft-sql-embedding/model.safetensors",
    "model.safetensors",
)

Other ways

8 hosted of 12 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors438 MB · 1 file Download · 438 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

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

8 hosted of 12 listed

Hashes recorded. Date not recorded.

File	大小	SHA-256	来源	下载
Weights
`model.safetensors` Default	438 MB	`862b8528…d5cc8b0d` `862b852885ed728c86e8eb1c986309d9a6abfb4901fc9873c0e60c32d5cc8b0d`	Hosted	下载
Tokenizer & config
`1_Pooling/config.json`	305 bytes	—	Upstream only	File metadata
`config.json`	622 bytes	`5ec4f81c…b3c41e1c` `5ec4f81cf36480f93615b2e810185e612ce7e5d823c8225362dfd8c4b3c41e1c`	Hosted	下载
`config_sentence_transformers.json`	208 bytes	`71c2450c…35d30fd4` `71c2450ccf8e73b43d19d083f6112f4a95b368dea4a5085119c9eb8e35d30fd4`	Hosted	下载
`modules.json`	368 bytes	`e7989e94…da2acd53` `e7989e94b5b809d895a9521b708312c1ccd333e183effebaf3838908da2acd53`	Hosted	下载
`sentence_bert_config.json`	56 bytes	`2b4c737b…9d102349` `2b4c737bec5c4c209d74269b75ecbf9ed3abf3c6347d969ee643cde39d102349`	Hosted	下载
`special_tokens_map.json`	1.01 KB	`efa8db3e…8a355062` `efa8db3ea1576eeb78ff630550f77db6e846e982bd62d45cce802f1d8a355062`	Hosted	下载
`tokenizer.json`	710.9 KB	`46fb1f73…37558d1e` `46fb1f735006f52c1f9744bb05f7bc1544ec8475955af30396212c7737558d1e`	Hosted	下载
`tokenizer_config.json`	1.66 KB	`9a7f8326…0c482013` `9a7f832646b41608c080c2589b2dff01fb9cb36dff5cc73d13e1c9bb0c482013`	Hosted	下载
`vocab.txt`	231.5 KB	—	Upstream only	File metadata
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`README.md`	21.6 KB	—	Upstream only	File metadata

检查下载文件

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

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sft-sql-embedding

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