bert-base-cased safetensors download (436 MB) | Hugging Bay

Q: What is this model?

google-bert/bert-base-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-base-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: at least 9 listed files; full count and size unknown. Full repo upstream: 1.83 GB. The recommended download, model.safetensors, is 435.8 MB.

Q: What can I download here?

Hosted here: at least 9 listed files; full count and size unknown. Full repo upstream: 1.83 GB. The original release is at https://huggingface.co/google-bert/bert-base-cased.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 9 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-google-bert-bert-base-cased/safety on Hugging Bay.

Q: Will google-bert/bert-base-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-base-cased

google-bert/bert-base-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.

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

Other ways

This file cannot open in the app. The app supports one GGUF file at a time.

See app requirements

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

Selected downloadmodel.safetensors436 MB · 1 file Download · 436 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

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

9 hosted of 10 listed

Hashes recorded. Date not recorded.

File	आकार	SHA-256	स्रोत	डाउनलोड करें
Weights
`model.safetensors` Default	435.8 MB	`1d8bdcee…8d64f050` `1d8bdcee6021e2c25f0325e84889b61c2eb26b843eef5659c247af138d64f050`	Hosted	डाउनलोड करें
`pytorch_model.bin`	435.8 MB	`d6992b8c…3835593e` `d6992b8cd27d7a132eafce6a8210272329a371b1c762d453588795dd3835593e`	Hosted	डाउनलोड करें
Tokenizer & config
`config.json`	570 bytes	`8b73abed…1910ed74` `8b73abed2d67075fd3ec0f840aa53d9cccdc9169c04a7da135c07e721910ed74`	Hosted	डाउनलोड करें
`flax_model.msgpack`	433.4 MB	`2da0d479…8aeaf630` `2da0d47987f1ad37febaaa06c3bec9134c1b1d3a6ebf134af5f946ce8aeaf630`	Hosted	डाउनलोड करें
`tf_model.h5`	526.7 MB	`0d04ece6…f7ce2dc3` `0d04ece69d04b890153ea3bd5c2ef5706f9181495a0778a2593c6118f7ce2dc3`	Hosted	डाउनलोड करें
`tokenizer.json`	435.8 KB	`5b3360be…3ef0f4d9` `5b3360be30cdf39081153cf9d30bfb0503c011462fc9f77f097127c83ef0f4d9`	Hosted	डाउनलोड करें
`tokenizer_config.json`	49 bytes	`0f6d13e6…9c23c2e8` `0f6d13e6f4da6f9e24f22ada6bc3be571123d858d7c0c05a8a7cd55a9c23c2e8`	Hosted	डाउनलोड करें
`vocab.txt`	213.4 KB	`eeaa9875…1df93d02` `eeaa9875b23b04b4c54ef759d03db9d1ba1554838f8fb26c5d96fa551df93d02`	Hosted	डाउनलोड करें
Docs
`.gitattributes`	491 bytes	`f0edc261…9c268240` `f0edc261ebfcf55ab4408dc897b0ab873161871b341ed1e3a27761a69c268240`	Upstream only	File metadata
`README.md`	8.98 KB	`cc8e037b…83059080` `cc8e037bc719c4776a0f78b146b315df062f8172343bbde9af25792683059080`	Hosted	डाउनलोड करें

डाउनलोड की जाँच करें

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.

bert-base-cased

डाउनलोड की जाँच करें

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