miCSE safetensors download (438 MB) | Hugging Bay

Q: What is this model?

SAP/miCSE is an embedding model for sentence similarity and retrieval published by SAP, added to Hugging Bay Jun 30, 2026. Model from Hugging Face: SAP/miCSE

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. The full repository size is not recorded. The recommended download, model.safetensors, is 438 MB.

Q: What can I download here?

Hosted here: at least 7 listed files; full count and size unknown. Full repo upstream: unknown. The original release is at https://huggingface.co/SAP/miCSE.

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-sap-micse/safety on Hugging Bay.

Q: Will SAP/miCSE 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.

SAP

miCSE

SAP/miCSE

Model details

sentence similarity and retrievalLicense: apache-2.0SHA-256 recorded for 7 of 9 filessafetensors · BIN

Content controls: not assessed.

Listed for comparing sentences; for developers building text similarity tools. Catalog sources: license, task.

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-sap-micse/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 9 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.

7 hosted of 9 listed

Hashes recorded. Date not recorded.

File	Tamaño	SHA-256	Origen	Descargar
Weights
`model.safetensors` Default	438 MB	`66e8a024…acec5596` `66e8a024a6c1ae3f627cb5826b68174474e081fc8ed5fb15502e5750acec5596`	Hosted	Descargar
`pytorch_model.bin`	0 bytes	—	Upstream only	File metadata
Tokenizer & config
`config.json`	687 bytes	`7f28a7a8…c0f7c091` `7f28a7a8ed100a1c96f48c5596035e746fbbd827c78ac009d60ba6fdc0f7c091`	Hosted	Descargar
`tokenizer.json`	711.6 KB	`f17212c3…7b9a9eb2` `f17212c38517cfedc9306b57eeffbaf58c4976fcb42e5a87b405f36a7b9a9eb2`	Hosted	Descargar
`tokenizer_config.json`	348 bytes	`aa1682f6…8a20d63e` `aa1682f605197045027e3b9892312d5f6e75957b736a66af5393a18a8a20d63e`	Hosted	Descargar
`vocab.txt`	231.5 KB	`07eced37…992038a3` `07eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3`	Hosted	Descargar
`special_tokens_map.json`	125 bytes	`b6d346be…76237ee3` `b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3`	Hosted	Descargar
Docs
`README.md`	10.1 KB	`b33cdb7a…38954aaf` `b33cdb7a802bca481dc656cd55cf4348e3bf31b40abd5542a12eea0938954aaf`	Hosted	Descargar
`.gitattributes`	0 bytes	—	Upstream only	File metadata

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.

miCSE

Comprobar una descarga

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