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google-bert

bert-large-cased

google-bert/bert-large-cased
Model details
masked-language modelingLicense: apache-2.0Hashes recordedsafetensors · BIN · H5

Content controls: not assessed.

The catalog lists this model for filling in missing words in text. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

Quick answer: compatibility and sources

Can I run bert-large-cased on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 6 hosted files; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

bert-large-cased is an open-weights language model for masked-language modeling. Model weights are learned parameters; a runtime loads them. A hosted file is an individual file Hugging Bay can serve. SHA-256 identifies exact file bytes. The availability date above applies to this file record, not the upstream metadata update date.

As of the recorded file availability check on .

Recorded SHA-256 for model.safetensors: 137eefff71696316817af618eb19f72e277daab3225b56584848c5723a47cc59. Exact file evidence · Machine-readable source facts · Run evidence and any recorded receipts. A checksum fingerprints only the named file bytes; it does not prove safety, quality, a complete multi-file selection or a successful run.

Updated · Page-copy source revision 8871bab84e1cf80aea1686a944ec335078a6c036 · Source files: apps/web/lib/model-page-template.mjs, apps/web/lib/model-page-v3.mjs, apps/web/lib/aeo-page.mjs · Full revision record

Model metadata: As of at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked .

Key facts

Catalog record
Summarizes upstream metadata; it is not itself a download or run receipt.
File evidence
Lists exact filenames, availability and any recorded SHA-256 for individual files.
Run evidence
Reports measured results only when a receipt exists for named file bytes and a setup; otherwise unmeasured.
Checksum scope
SHA-256 fingerprints one file’s bytes; it does not prove safety, quality or a multi-file bundle.

Evidence you can inspect (plain text)

  • This page’s quick answer names the file record for hf-model-google-bert-bert-large-cased.
  • Open /artifact/hf-model-google-bert-bert-large-cased/files for this exact filenames, availability and any recorded SHA-256.
  • Open /evidence/artifacts/hf-model-google-bert-bert-large-cased for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-google-bert-bert-large-cased/card.md for machine-readable source facts (not a runtime test).
  • A matching checksum on this page fingerprints only the named bytes shown in file evidence.

Unmeasured states are stated explicitly; this page does not invent run scores or compatibility guarantees.

Which date applies to which fact

  • File availability check:
  • Committed page-copy sources:
  • Upstream model metadata: Dates on artifact records when shown; not implied by page-copy revision
  • Run receipts: Only on /evidence pages when recorded; otherwise unmeasured

Page-copy revision (Updated line above) identifies committed text sources, not upstream model edits or test outcomes.

6 hosted of 11 listed

Hashes recorded. Date not recorded.

FileSizeSHA-256SourceDownload
Weights
model.safetensors1.34 GB
137eefff…3a47cc59137eefff71696316817af618eb19f72e277daab3225b56584848c5723a47cc59
HostedDownload
pytorch_model.bin1.34 GB
6191f9ee…6c949a036191f9ee19831eabcf5376d1eb3d0d0d7aa1589e0f91e4975fd596a76c949a03
Upstream onlyFile metadata
Tokenizer & config
config.json762 bytes
66a5763b…91b3bb5566a5763bd11fc04661277d8d4d969838a5b499cfdccbd93877e1424e91b3bb55
HostedDownload
flax_model.msgpack1.33 GB
2e3c2b4e…aa64a1232e3c2b4e341c1d19b4f494de362e7ccbea77e4dfea1035ad9357adcfaa64a123
Upstream onlyFile metadata
tf_model.h51.46 GB
4f656f5b…61b7000f4f656f5bbe40b84bf9a476045134a8028c3c1c6d0c316b07faba90c761b7000f
Upstream onlyFile metadata
tokenizer.json435.8 KB
a17c4dbf…ce122e3ea17c4dbf7a87e1789a01d3e17ad6cb6dd716c883d0e82fcd11eb525ece122e3e
HostedDownload
tokenizer_config.json49 bytes
0f6d13e6…9c23c2e80f6d13e6f4da6f9e24f22ada6bc3be571123d858d7c0c05a8a7cd55a9c23c2e8
HostedDownload
vocab.txt213.4 KB
eeaa9875…1df93d02eeaa9875b23b04b4c54ef759d03db9d1ba1554838f8fb26c5d96fa551df93d02
HostedDownload
whole-word-masking.tar.gz1.24 GB
d8c8e92f…2618ae8bd8c8e92f883363b97ae60161831c6cfe64b0004d7a08731e344feb902618ae8b
Upstream onlyFile metadata
Docs
.gitattributes491 bytes
f0edc261…9c268240f0edc261ebfcf55ab4408dc897b0ab873161871b341ed1e3a27761a69c268240
Upstream onlyFile metadata
README.md9.21 KB
0e2e26ad…5c8b468a0e2e26ad8ba83e31b27295b144fd393d922fb2745a4928a1230db82f5c8b468a
HostedDownload

Check a download

In the folder where you saved .gitattributes, run:

macOS
shasum -a 256 -- '.gitattributes'
Linux
sha256sum -- '.gitattributes'
Windows
Get-FileHash -LiteralPath '.gitattributes' -Algorithm SHA256

Compare the result with the recorded SHA-256.

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