google/electra-base-discriminator license
google/electra-base-discriminator license and verification status on Hugging Bay. License: apache-2.0. Scan: passed.
- Task
- general
- Size
- 1.8 GB
- Recommended file
- 440 MB — pytorch_model.bin
- Files
- 0 hosted of 10 listed
- Download
- Downloadable files: 0 confirmed
- Added to Hugging Bay
- Updated at source
Download this program
Files withheld — not faked.
Other files (for experts)
- .gitattributes · 390 bytes
- README.md · 2 KB
- config.json · 666 bytes
- flax_model.msgpack · 438 MB
- rust_model.ot · 440 MB
- tf_model.h5 · 438 MB
- tokenizer.json · 466 KB
- tokenizer_config.json · 48 bytes
- vocab.txt · 232 KB
FAQ
What is this model?
google/electra-base-discriminator is an open-weights language model for general published by google, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for llm: google/electra-base-discriminator · transformers
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.
How big is it?
The total download is 1.8 GB; the recommended download, pytorch_model.bin, is 440 MB.
What can I download here?
This model is listed, but we haven't confirmed its download files, so we won't offer a download button we can't stand behind. The record lists 10 files.
File checks and computer fit
File pattern scans
Automated file-pattern scans flagged nothing — not a safety guarantee. The machine-readable verdict is at /api/artifacts/hf-model-google-electra-base-discriminator/safety on Hugging Bay.
Will google/electra-base-discriminator 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.
License
Effective license: apache-2.0
Permissive open license: commercial use, modification, and redistribution are permitted.
Keep every copyright, attribution, license, and NOTICE requirement imposed by the exact license text.
Exact upstream license record
{
"declaredLicense": "apache-2.0",
"upstreamLicenseRaw": "apache-2.0",
"sourceUrl": "https://huggingface.co/google/electra-base-discriminator",
"upstream": {
"gated": false,
"repoId": "google/electra-base-discriminator",
"private": false,
"repoUrl": "https://huggingface.co/google/electra-base-discriminator",
"disabled": false,
"provider": "huggingface",
"repoType": "model",
"revision": "1ae76a97c7e84a4e640876a07453fccd636f0667",
"fetchedAt": "2026-10-07T03:29:35.743Z",
"importMode": "mirrored-release",
"licenseRaw": "apache-2.0",
"licenseDeclared": "apache-2.0",
"mirrorLicensePolicy": "permissive"
}
}Plain-English license guide Upstream source License and source record
The summary never replaces the exact upstream license text, notices, or machine-readable obligations.
Scan: passed. Removed or disputed files stay out of search, mirrors, and APIs.
Evidence details
- Demand
- 41M upstream downloads
- Trust
- Unknown
- Run fit
- Unknown: canonical-snapshot-missing
- Scan status
- passed
- Executable state
- unknown
- Evidence timestamp
- unknown
- Declared license
- apache-2.0
- Pipeline
- general
- Library
- transformers
- Task categories
- general
- Languages
- en
- Paper ids
- 1406.2661
- File hints
- 10 upstream file samples