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.

WebOrganizer

TopicClassifier-NoURL

Can I run TopicClassifier-NoURL 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.

TopicClassifier-NoURL 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: e6e64ff76c051a6ed7eb69159512197275672915d1113f8f02b7739e2c149f19. 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 .

WebOrganizer/TopicClassifier-NoURL
Model details
text classificationLicense: unknownSHA-256 recorded for 5 of 10 filessafetensors

Content controls: not assessed.

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

5 hosted of 10 listed

Hashes recorded. Date not recorded.

FileGrößeSHA-256QuelleHerunterladen
Weights
model.safetensors Default549.6 MB
e6e64ff7…2c149f19e6e64ff76c051a6ed7eb69159512197275672915d1113f8f02b7739e2c149f19
HostedHerunterladen
Tokenizer & config
config.json2.68 KB
4e6a1426…0e0930bb4e6a1426a85d83eb8f776ff2b07f1276a123ed81944118b86d6dc3b40e0930bb
HostedHerunterladen
configuration.py7.13 KB—Upstream onlyFile metadata
modeling.py59 KB—Upstream onlyFile metadata
tokenizer_config.json1.38 KB
1ca2f5ed…e7ab3bd61ca2f5edb2909927472409df7680004ba44f915c0412c71375acd859e7ab3bd6
HostedHerunterladen
vocab.txt231.5 KB—Upstream onlyFile metadata
special_tokens_map.json695 bytes
5d5b662e…a350503a5d5b662e421ea9fac075174bb0688ee0d9431699900b90662acd44b2a350503a
HostedHerunterladen
tokenizer.json711.7 KB
cb374d6b…8857a448cb374d6bc042c22455946f4e09a89d29882a199fdaf8fb25be00dc8b8857a448
HostedHerunterladen
Docs
.gitattributes1.52 KB—Upstream onlyFile metadata
README.md3.82 KB—Upstream onlyFile metadata

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.