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AI models that run on this device.

Two small chat models run in a computer’s browser here; every other model is a file you download.

explosion-testing

albert-test

explosion-testing/albert-test
Model details
masked-language modelingLicense: unknownSHA-256 recorded for 4 of 5 filessafetensors · BIN

Content controls: not assessed.

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

3 hosted of 5 listed

Hashes recorded. Date not recorded.

FileSizeSHA-256SourceDownload
Weights
model.safetensors868.9 KB
f587e23a…1be454d6f587e23ade8cb5e22a307b4a08693ec90a9f1e169874a4d9a3ba281c1be454d6
HostedDownload
pytorch_model.bin875.1 KB
3968f9e0…e7ac0a2b3968f9e048d7fa9c9218b20d25994dede1f07f9e572ac6ec60397985e7ac0a2b
Upstream onlyFile metadata
Tokenizer & config
config.json821 bytes
82d3ffb3…af2425f782d3ffb3a8cdf263e953b270840099c72b4ae18fab3f2d6284031943af2425f7
HostedDownload
tokenizer.json1.31 MB
6e2aa3d5…ec4d2ac36e2aa3d5ca4c6841bc36a5028179cb4d63c129931fa18fce38fdb38cec4d2ac3
HostedDownload
Docs
.gitattributes1.48 KB—Upstream onlyFile metadata

Check a download

In the folder where you saved config.json, run:

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

Compare the result with the recorded SHA-256.

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