Zum Hauptinhalt springen

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.

sdadas

polish-splade

Can I run polish-splade on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 7 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.

polish-splade is an open-weights language model for masked-language modeling. 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: 44437ac9a160841865cfe090536f0d2f73f74c39c388e45d164bc06645ac9dbf. 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 .

sdadas/polish-splade
Model details
masked-language modelingLicense: apache-2.0SHA-256 recorded for 8 of 9 filessafetensors · BIN

Content controls: not assessed.

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

7 hosted of 9 listed

Hashes recorded. Date not recorded.

FileGrößeSHA-256QuelleHerunterladen
Weights
model.safetensors Default327.9 MB
44437ac9…45ac9dbf44437ac9a160841865cfe090536f0d2f73f74c39c388e45d164bc06645ac9dbf
HostedHerunterladen
pytorch_model.bin327.9 MB
97a7cfb1…1773fe1897a7cfb1562cd0b876ba8c26730c6eca8e4de5168794320aba0045b01773fe18
Upstream onlyFile metadata
Tokenizer & config
config.json686 bytes
863a9c19…1c18c137863a9c19dffe5f5a5f139c20971549614e8bb4e3519f09cc4f991fff1c18c137
HostedHerunterladen
tokenizer.json3.36 MB
00e683e7…ae06fc6100e683e77094fd01bb316ce38d99c9b9b47ca031a6e2393b4da4b5f9ae06fc61
HostedHerunterladen
tokenizer_config.json342 bytes
f66a09b1…dc25817bf66a09b1c2a540f477043d110c4c3cc2976019bef6c78819f4b21f20dc25817b
HostedHerunterladen
unigram.json2.95 MB
e32b6b19…9f79d1bae32b6b19c0ff75f79e07faa11e71b3c47fb2984370ef054bf5cb42f79f79d1ba
HostedHerunterladen
special_tokens_map.json239 bytes
378eb3bf…22ae554d378eb3bf733eb16e65792d7e3fda5b8a4631387ca04d2015199c4d4f22ae554d
HostedHerunterladen
Docs
.gitattributes1.52 KB—Upstream onlyFile metadata
README.md3.65 KB
d73f4346…2376ee2ed73f4346f977a624126b6eab2b99a63b6b40c4454ecf82723dc755aa2376ee2e
HostedHerunterladen

Einen Download prüfen

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.