bert-large-cased safetensors download | Hugging Bay

Q: What is this model?

google-bert/bert-large-cased is an open-weights language model for masked-language modeling published by google-bert, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for fill mask: google-bert/bert-large-cased · transformers

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: 6 files, 1.34 GB. Full repo upstream: 6.72 GB. The recommended download, model.safetensors, is 1.34 GB.

Q: What can I download here?

Hosted here: 6 files, 1.34 GB. Full repo upstream: 6.72 GB. The original release is at https://huggingface.co/google-bert/bert-large-cased.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 6 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-google-bert-bert-large-cased/safety on Hugging Bay.

Q: Will google-bert/bert-large-cased 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.

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.

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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-google-bert-bert-large-cased/model.safetensors",
    "model.safetensors",
)

Other ways

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

Selected downloadmodel.safetensors1.34 GB · 1 file Download · 1.34 GB (1 file)

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Check your download →

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

6 hosted of 11 listed

Hashes recorded. Date not recorded.

File	Tamanho	SHA-256	Origem	Baixar
Weights
`model.safetensors` Default	1.34 GB	`137eefff…3a47cc59` `137eefff71696316817af618eb19f72e277daab3225b56584848c5723a47cc59`	Hosted	Baixar
`pytorch_model.bin`	1.34 GB	`6191f9ee…6c949a03` `6191f9ee19831eabcf5376d1eb3d0d0d7aa1589e0f91e4975fd596a76c949a03`	Upstream only	File metadata
Tokenizer & config
`config.json`	762 bytes	`66a5763b…91b3bb55` `66a5763bd11fc04661277d8d4d969838a5b499cfdccbd93877e1424e91b3bb55`	Hosted	Baixar
`flax_model.msgpack`	1.33 GB	`2e3c2b4e…aa64a123` `2e3c2b4e341c1d19b4f494de362e7ccbea77e4dfea1035ad9357adcfaa64a123`	Upstream only	File metadata
`tf_model.h5`	1.46 GB	`4f656f5b…61b7000f` `4f656f5bbe40b84bf9a476045134a8028c3c1c6d0c316b07faba90c761b7000f`	Upstream only	File metadata
`tokenizer.json`	435.8 KB	`a17c4dbf…ce122e3e` `a17c4dbf7a87e1789a01d3e17ad6cb6dd716c883d0e82fcd11eb525ece122e3e`	Hosted	Baixar
`tokenizer_config.json`	49 bytes	`0f6d13e6…9c23c2e8` `0f6d13e6f4da6f9e24f22ada6bc3be571123d858d7c0c05a8a7cd55a9c23c2e8`	Hosted	Baixar
`vocab.txt`	213.4 KB	`eeaa9875…1df93d02` `eeaa9875b23b04b4c54ef759d03db9d1ba1554838f8fb26c5d96fa551df93d02`	Hosted	Baixar
`whole-word-masking.tar.gz`	1.24 GB	`d8c8e92f…2618ae8b` `d8c8e92f883363b97ae60161831c6cfe64b0004d7a08731e344feb902618ae8b`	Upstream only	File metadata
Docs
`.gitattributes`	491 bytes	`f0edc261…9c268240` `f0edc261ebfcf55ab4408dc897b0ab873161871b341ed1e3a27761a69c268240`	Upstream only	File metadata
`README.md`	9.21 KB	`0e2e26ad…5c8b468a` `0e2e26ad8ba83e31b27295b144fd393d922fb2745a4928a1230db82f5c8b468a`	Hosted	Baixar

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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

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bert-large-cased

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