e5basev2 safetensors download (438 MB) | Hugging Bay

Q: What is this model?

SRA25/e5basev2 is an embedding model for sentence similarity and retrieval published by SRA25, added to Hugging Bay Jun 30, 2026. Model from Hugging Face: SRA25/e5basev2

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

Q: What can I download here?

Hosted here: 10 files, 439 MB. Full repo upstream: unknown. The original release is at https://huggingface.co/SRA25/e5basev2.

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-sra25-e5basev2/safety on Hugging Bay.

Q: Will SRA25/e5basev2 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.

SRA25

e5basev2

SRA25/e5basev2

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, 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-sra25-e5basev2/model.safetensors",
    "model.safetensors",
)

Other ways

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

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

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