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shahrukhx01

question-vs-statement-classifier

Can I run question-vs-statement-classifier 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.

question-vs-statement-classifier is an open-weights language model for text classification. Model weights are learned parameters; a runtime loads them. A hosted file is an individual file Hugging Bay can serve. SHA-256 identifies exact file bytes. The availability date above applies to this file record, not the upstream metadata update date.

As of the recorded file availability check on .

Recorded SHA-256 for model.safetensors: 3a3b8a47bdeffb618d2d4e354c80b86f32f1827577562196108bdba7f9f7e9d8. Exact file evidence · Machine-readable source facts · Run evidence and any recorded receipts. A checksum fingerprints only the named file bytes; it does not prove safety, quality, a complete multi-file selection or a successful run.

Updated · Page-copy source revision 8871bab84e1cf80aea1686a944ec335078a6c036 · Source files: apps/web/lib/model-page-template.mjs, apps/web/lib/model-page-v3.mjs, apps/web/lib/aeo-page.mjs · Full revision record

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

shahrukhx01/question-vs-statement-classifier
Model details
text classificationLicense: unknownSHA-256 recorded for 6 of 8 filessafetensors · BIN

Content controls: not assessed.

The catalog lists this model for sorting text into categories. Catalog sources: task, cardMetadata.pipelineTag.

5 hosted of 8 listed

Hashes recorded. Date not recorded.

FileSizeSHA-256SourceDownload
Weights
model.safetensors Default44.7 MB
3a3b8a47…f9f7e9d83a3b8a47bdeffb618d2d4e354c80b86f32f1827577562196108bdba7f9f7e9d8
HostedDownload
pytorch_model.bin44.7 MB
e47836a6…3f0125d4e47836a61bc13290316c2029d3855a3b6d2094910e3a13358bee83e63f0125d4
Upstream onlyFile metadata
Tokenizer & config
config.json619 bytes
73aedfd8…aeecf4c273aedfd8f4ec4582b792d9d2fd6dd6d8e35fc41763e24153b3733991aeecf4c2
HostedDownload
tokenizer_config.json334 bytes
330b2671…4184333e330b2671d575894d6dfbf378520b2c74c1819ef6745a1f747c34ad9e4184333e
HostedDownload
vocab.txt231.5 KB
07eced37…992038a307eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3
HostedDownload
special_tokens_map.json112 bytes
303df45a…5ec200e3303df45a03609e4ead04bc3dc1536d0ab19b5358db685b6f3da123d05ec200e3
HostedDownload
Docs
.gitattributes744 bytes—Upstream onlyFile metadata
README.md664 bytes—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.