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alt.freeweights.vision / bert-base-chinese
From: google-bert <huggingface.co/google-bert>Newsgroups: alt.freeweights.visionSubject:

bert-base-chinese

Date: 2026-11-15Commit: 8f23c25Signed: 2DC28CC7B26A283B ✓

Fill mask model with 103M parameters. Safetensors weights, 1.71 GB in all. Published by google-bert under Apache-2.0.

103M params1.71GBbert-base-chinesesafetensorspermissive
FactsParams103MSize1.71 GBFormatssafetensorsTaskfill maskLicenseApache-2.0From sourcepermissive
$ fw get google-bert/bert-base-chinese
# manifest sha256 407003acd439… · 1.71 GB · 10 files
$ fw verify ./bert-base-chinese google-bert/bert-base-chinese
From sourceHosted (signed)google-bert/bert-base-chineseLast check: 2026-11-15 02:27 UTC
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Overview

Size
1.71 GB
Weights
412 MB (safetensors)
Parameters
103M
Formats
safetensors
Task
fill mask
License
Apache-2.0 (permissive)
Files
10, each with a sha256
Publisher
google-bert
Added
2026-11-15
Section
alt.freeweights.vision
Lineage

Original release from the publisher.

Where these bytes come from
Publisher at the pinned commit→You

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Sources
BadgeHostLast checkResult
From sourcehuggingface.co2026-11-15 02:27 UTCpassed

Model card

From the publisher at commit 8f23c25. Shown as plain text with links; images open at the publisher.

Bert-base-chinese#

Table of Contents#

Model Details#

Model Description#

This model has been pre-trained for Chinese, training and random input masking has been applied independently to word pieces (as in the original BERT paper).

  • Developed by: Google
  • Model Type: Fill-Mask
  • Language(s): Chinese
  • License: Apache 2.0
  • Parent Model: See the BERT base uncased model for more information about the BERT base model.
Model Sources#

Uses#

Direct Use#

This model can be used for masked language modeling

Risks, Limitations and Biases#

CONTENT WARNING: Readers should be aware this section contains content that is disturbing, offensive, and can propagate historical and current stereotypes.

Significant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)).

Training#

Training Procedure#
  • type_vocab_size: 2
  • vocab_size: 21128
  • num_hidden_layers: 12
Training Data#

[More Information Needed]

Evaluation#

Results#

[More Information Needed]

How to Get Started With the Model#

from transformers import AutoTokenizer, AutoModelForMaskedLM

tokenizer = AutoTokenizer.from_pretrained("bert-base-chinese")

model = AutoModelForMaskedLM.from_pretrained("bert-base-chinese")

Files

10 files · 1.71 GBWeights 412 MB (safetensors). Sizes and sha256 from the signed manifest.
Hide all 10 files with their sha256
FileSizesha256
.gitattributes445 B98c91dabef4df27b2fc7c8454d220aba47476f73593cbd034d961fe4927304c1
README.md1.92 KB80efb5c88f6c09c0f4b2f91380852a374f023e195954f21ff7221928487ce454
config.json624 B88af762cfb15fa9ce183c84dcbfdc9d635196ba635dfe81f265fdd21d67f4c4c
flax_model.msgpack409 MB76df8425215fb9ede22e0393e356f82a99d84e79f078cd141afbbf9277460c8e
model.safetensors412 MB3404a1ffd8da507042e8161013ba2a4fc49858b4e3f8fbf5ce5724f94883aec3
pytorch_model.bin412 MB8a693db616eaf647ed2bfe531e1fa446637358fc108a8bf04e8d4db17e837ee9
tf_model.h5478 MB612acd33db45677c3d6ba70615336619dc65cddf1ecf9d39a22dd1934af4aff2
tokenizer.json269 KB55c5edcfb8936895e019b2d8f97dcb547734f25b29f95009155f4c8c15649aae
tokenizer_config.json49 B0f6d13e6f4da6f9e24f22ada6bc3be571123d858d7c0c05a8a7cd55a9c23c2e8
vocab.txt110 KB45bbac6b341c319adc98a532532882e91a9cefc0329aa57bac9ae761c27b291c
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
8f23c25b06 pinned now2026-11-15 02:27 UTC10 files · 1.71 GB

Use it

$ fw get google-bert/bert-base-chinese
# manifest sha256 407003acd439… · 1.71 GB · 10 files
$ fw verify ./bert-base-chinese google-bert/bert-base-chinese
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/google-bert/bert-base-chinese.json --dir ./bert-base-chinese $ python3 fw.py verify ./bert-base-chinese ./google-bert__bert-base-chinese.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download google-bert/bert-base-chinese --revision 8f23c25b06e129b6c986331a13d8d025a92cf0ea --local-dir ./bert-base-chinese
Fine-tune in Studio

License

Name
Apache License 2.0
Id
Apache-2.0
Class
Permissive
Redistribution
yes
Listing
Hosted (signed)
Decided
License as declared by the publisher. No person read it. 2026-11-15
Text in
README.md
Text sha256
80efb5c88f6c09c0f4b2f91380852a374f023e195954f21ff7221928487ce454
Terms gate
No extra terms beyond the license.

Read the license text

Licenses are checked against the license table. A custom license passes only after a person reads it.

Provenance

From: google-bert <huggingface.co/google-bert>Newsgroups: alt.freeweights.visionSubject: bert-base-chineseDate: 2026-11-15Commit: 8f23c25Signed: 2DC28CC7B26A283B ✓
Upstream
google-bert/bert-base-chinese
Pinned commit
8f23c25b06e129b6c986331a13d8d025a92cf0ea
Manifest
bert-base-chinese.json · .minisig
Manifest sha256
407003acd439e3eadf6c19f7f6b20b2ba62e85153dddf24dce4eb09d7dc035a6
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 02:27 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/google-bert/bert-base-chinese.json $ curl -O https://freeweights.allternit.com/manifests/google-bert/bert-base-chinese.json.minisig $ minisign -Vm bert-base-chinese.json -P RWQ7KGqyx4zCLXtUFOqvfv8L3g+8fpKJ1FsuxPyOYMF+4KufbUxKq1Oq $ shasum -a 256 <file> # compare with the Files tab

A manifest whose signature fails must be rejected. A file whose size or sha256 does not match must be discarded. Verify a download

Model tree

1 model in the catalog name this one as their parent.

Quantizations
1
Quantizations 1
Get it
Download
$ HF_ENDPOINT=https://freeweights.allternit.com hf download google-bert/bert-base-chinese
Open in Freeweights Studio

Pull, verify and run it in the Allternit app on Desktop, web or phone.

Signed manifest
minisign, key 2DC28CC7B26A283B. bert-base-chinese.json. Provenance. Takedown history: none.
Source
huggingface.co/google-bert/bert-base-chinese

Variants

1 quantized or adapter build of bert-base-chinese. Each has its own license check and page.

SubjectSizeParamsLicenseDate
bert-base-chinese-ONNXHosted (signed) From: onnx-community in alt.freeweights.vision1.24 GB—Permissive2026-11-15

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