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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.

FacebookAI

roberta-base

FacebookAI/roberta-base
Model details
masked-language modelingLicense: mitHashes recordedsafetensors · BIN · H5

Content controls: not assessed.

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

Quick answer: compatibility and sources

Can I run roberta-base on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 6 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.

roberta-base is an open-weights language model for masked-language modeling. 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: 5bde1d28afb363d0103324efeb5afc8b2b397fe5e04beabb9b1ef355255ade81. 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 .

Key facts

Catalog record
Summarizes upstream metadata; it is not itself a download or run receipt.
File evidence
Lists exact filenames, availability and any recorded SHA-256 for individual files.
Run evidence
Reports measured results only when a receipt exists for named file bytes and a setup; otherwise unmeasured.
Checksum scope
SHA-256 fingerprints one file’s bytes; it does not prove safety, quality or a multi-file bundle.

Evidence you can inspect (plain text)

  • This page’s quick answer names the file record for hf-model-facebookai-roberta-base.
  • Open /artifact/hf-model-facebookai-roberta-base/files for this exact filenames, availability and any recorded SHA-256.
  • Open /evidence/artifacts/hf-model-facebookai-roberta-base for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-facebookai-roberta-base/card.md for machine-readable source facts (not a runtime test).
  • A matching checksum on this page fingerprints only the named bytes shown in file evidence.

Unmeasured states are stated explicitly; this page does not invent run scores or compatibility guarantees.

Which date applies to which fact

  • File availability check:
  • Committed page-copy sources:
  • Upstream model metadata: Dates on artifact records when shown; not implied by page-copy revision
  • Run receipts: Only on /evidence pages when recorded; otherwise unmeasured

Page-copy revision (Updated line above) identifies committed text sources, not upstream model edits or test outcomes.

6 hosted of 11 listed

Hashes recorded. Date not recorded.

FileTailleSHA-256SourceTélécharger
Weights
model.safetensors498.8 MB
5bde1d28…255ade815bde1d28afb363d0103324efeb5afc8b2b397fe5e04beabb9b1ef355255ade81
HostedTélécharger
pytorch_model.bin501.2 MB
278b7a95…1b9e461b278b7a95739c4392fae9b818bb5343dde20be1b89318f37a6d939e1e1b9e461b
Upstream onlyFile metadata
Tokenizer & config
config.json481 bytes
ef0185e2…13fc45e9ef0185e2aae6e06c5f105a285006952c340e20c7dbf43c86ec82601b13fc45e9
HostedTélécharger
flax_model.msgpack498.8 MB
7647e7df…5947bba37647e7df15dfddb7d5c07fcbed7a21e3881ccfea085791cf09917aa05947bba3
Upstream onlyFile metadata
merges.txt456.3 KB
1ce16647…7726adc51ce1664773c50f3e0cc8842619a93edc4624525b728b188a9e0be33b7726adc5
HostedTélécharger
rust_model.ot655.6 MB
9eab94d5…ebd6c3a09eab94d556cd9151ba760802bc2151c7ac51675bb81e017b25de41c1ebd6c3a0
Upstream onlyFile metadata
tf_model.h5657.4 MB
8ad49e51…ce1e4e108ad49e51cdfa998f1d26f24d6966e1a00c3df44c6e334995fdb4d622ce1e4e10
Upstream onlyFile metadata
tokenizer.json1.36 MB
847bbeab…581df70e847bbeab6174d66a88898f729d52fa8d355fafe1bea101cf960dd404581df70e
HostedTélécharger
tokenizer_config.json25 bytes
994f4675…aecd18ce994f46754c5bf4014f1aa92d34b1374319c3a6b3f702105cd5b742beaecd18ce
HostedTélécharger
vocab.json898.8 KB
9e7f63c2…e6e506559e7f63c2d15d666b52e21d250d2e513b87c9b713cfa6987a82ed89e5e6e50655
HostedTélécharger
Docs
.gitattributes445 bytes
98c91dab…927304c198c91dabef4df27b2fc7c8454d220aba47476f73593cbd034d961fe4927304c1
Upstream onlyFile metadata

Vérifier un téléchargement

In the folder where you saved .gitattributes, run:

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

Compare the result with the recorded SHA-256.

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