bert-base-uncased safetensors download | Hugging Bay

Q: What is this model?

google-bert/bert-base-uncased 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-uncased · 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 14 listed files; full count and size unknown. Full repo upstream: 3.45 GB. The recommended download, model.safetensors, is 440.4 MB.

Q: What can I download here?

Hosted here: at least 14 listed files; full count and size unknown. Full repo upstream: 3.45 GB. The original release is at https://huggingface.co/google-bert/bert-base-uncased.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 14 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-uncased/safety on Hugging Bay.

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

google-bert/bert-base-uncased

Model details

masked-language modelingLicense: apache-2.0SHA-256 recorded for 15 of 16 filesBIN · ONNX · safetensors · 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-uncased/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

14 hosted of 16 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors440 MB · 1 file Download · 440 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

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

14 hosted of 16 listed

Hashes recorded. Date not recorded.

File	Tamaño	SHA-256	Origen	Descargar
Weights
`model.safetensors` Default	440.4 MB	`68d45e23…bb9169d3` `68d45e234eb4a928074dfd868cead0219ab85354cc53d20e772753c6bb9169d3`	Hosted	Descargar
`coreml/fill-mask/float32_model.mlpackage/Data/com.apple.CoreML/weights/weight.bin`	531.8 MB	`c0c9f491…f097e289` `c0c9f4914b4f0053785e96b8583cd59cda63c2f1b6e95a03970d772bf097e289`	Hosted	Descargar
`model.onnx`	532.1 MB	`44d7a289…b62e5f7f` `44d7a2896d341c51fb1eba89aea3a590e6af0ce33e25481136f7eeecb62e5f7f`	Hosted	Descargar
`pytorch_model.bin`	440.5 MB	`09741738…a67b203a` `097417381d6c7230bd9e3557456d726de6e83245ec8b24f529f60198a67b203a`	Hosted	Descargar
Tokenizer & config
`config.json`	570 bytes	`7160e155…4f187d20` `7160e1553ad2ca51d8c1cb066be533db31826e12d173824c1bb0cb1a4f187d20`	Hosted	Descargar
`coreml/fill-mask/float32_model.mlpackage/Data/com.apple.CoreML/model.mlmodel`	164.9 KB	—	Upstream only	File metadata
`coreml/fill-mask/float32_model.mlpackage/Manifest.json`	617 bytes	`4e9566ed…3993c94c` `4e9566ed44c3c401dada9ff243e0efbd570f9bc4e55dd7fdfb937cb23993c94c`	Hosted	Descargar
`flax_model.msgpack`	438.1 MB	`ea201fab…2cdb54bf` `ea201fabe466ef7182f1f687fb5be4b62a73d3a78883f11264ff7f682cdb54bf`	Hosted	Descargar
`rust_model.ot`	534.2 MB	`afd9aa42…38f89972` `afd9aa425fd45c5655d3d43a0d041f9b76729bf475d6c017a0e9304a38f89972`	Hosted	Descargar
`tf_model.h5`	536.1 MB	`a7a17d6d…18ce87d2` `a7a17d6d844b5de815ccab5f42cad6d24496db3850a2a43d8258221018ce87d2`	Hosted	Descargar
`tokenizer.json`	466.1 KB	`ce64fce7…0d8c9a98` `ce64fce797c24f68df90b40a3f74f579b336a493db14bd583fd520ea0d8c9a98`	Hosted	Descargar
`tokenizer_config.json`	48 bytes	`a025160e…d214bf10` `a025160ef0431f1a392f6f050c1310f4c5d9fb6f275932dbccba73c4d214bf10`	Hosted	Descargar
`vocab.txt`	231.5 KB	`07eced37…992038a3` `07eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3`	Upstream only	File metadata
Docs
`.gitattributes`	491 bytes	`f0edc261…9c268240` `f0edc261ebfcf55ab4408dc897b0ab873161871b341ed1e3a27761a69c268240`	Hosted	Descargar
`LICENSE`	11.4 KB	`43070e2d…5e1379c1` `43070e2d4e532684de521b885f385d0841030efa2b1a20bafb76133a5e1379c1`	Hosted	Descargar
`README.md`	10.5 KB	`9187b601…e4067e17` `9187b6018ea0010d884e78e098e328faa1b88b301570d0cce606bb35e4067e17`	Hosted	Descargar

Comprobar una descarga

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-uncased

Comprobar una descarga

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