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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.

clarin-pl

FastPDN

Can I run FastPDN on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 5 hosted files; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

FastPDN is an open-weights language model for token classification. Model weights are learned parameters; a runtime loads them. Hosting files does not prove that a complete model runs.

As of the availability check on .

Recorded SHA-256 for model.safetensors: 2c0826de0adbb19a2e0a4094027e4ca03728b9cedb0445a1ecb278e9f7333a32. File evidence · Machine-readable facts · Run evidence and any recorded receipts · Proof Lab measurement policy. A checksum verifies byte identity, not safety; this answer asserts no measured runtime result.

Updated · Page text: As of · Content revision

Model metadata: As of at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked .

clarin-pl/FastPDN
Model details
token classificationLicense: cc-by-4.0SHA-256 recorded for 6 of 10 filessafetensors · BIN

Content controls: not assessed.

The catalog lists this model for labeling parts of text. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

5 hosted of 10 listed

Hashes recorded. Date not recorded.

FileSizeSHA-256SourceDownload
Weights
model.safetensors Default495.9 MB
2c0826de…f7333a322c0826de0adbb19a2e0a4094027e4ca03728b9cedb0445a1ecb278e9f7333a32
HostedDownload
pytorch_model.bin496 MB
48ee72c6…3f54dd1a48ee72c68e72c35fe9a4f583fdb17442800c66a01d3ed4c2f44b8c1d3f54dd1a
Upstream onlyFile metadata
Tokenizer & config
config.json11.2 KB
a9914035…b38a7512a9914035968507c71f440218f668de254325db65f5c820a7a636dd53b38a7512
HostedDownload
merges.txt555.6 KB—Upstream onlyFile metadata
special_tokens_map.json144 bytes
72dd7357…1bb1c2e772dd7357a4df84178478721d281129b0a1866318d4d895fee86e98171bb1c2e7
HostedDownload
tokenizer.json2.3 MB
9605a7fc…89bb863a9605a7fca5966588a63511105ee3d30f9f2ba1b8cfe833c09d44b77889bb863a
HostedDownload
tokenizer_config.json557 bytes
3a367ce4…afcecae23a367ce4b4abee95a89196a053330f0976a29d9d019d72bd64d70c2bafcecae2
HostedDownload
vocab.json907 KB—Upstream onlyFile metadata
Docs
.gitattributes1.48 KB—Upstream onlyFile metadata
README.md2.57 KB—Upstream onlyFile metadata

Check a download

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.