facebook

roberta-hate-speech-dynabench-r4-target

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What we checked

File: check availability in Files.

Memory: Fit unknown. File size needed to check fit.

Last recorded run: none for this selected file.

License FFiles CRuns F

Recorded checks do not guarantee safety or performance on your computer.

See file checks and sources
Model details
Classify textNo license statedSHA-256 recorded for 7 of 9 filessafetensors · BIN
Quick answer: compatibility and sources

Can I run roberta-hate-speech-dynabench-r4-target on my computer?

It depends on your memory, processor, file format and runtime. A download is not confirmed by the current file evidence; inspect the file record before trying it. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

roberta-hate-speech-dynabench-r4-target 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: 96624a468e48566db8921a56d08126426da606f0c8c78cfb8ec9e407c7bd5ffa. 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.

Page text updated .

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-facebook-roberta-hate-speech-dynabench-r4-target.
  • Open /artifact/hf-model-facebook-roberta-hate-speech-dynabench-r4-target/files for exact filenames, availability and any recorded SHA-256 for this model.
  • Open /evidence/artifacts/hf-model-facebook-roberta-hate-speech-dynabench-r4-target for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-facebook-roberta-hate-speech-dynabench-r4-target/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.

Requirements and source record
facebook/roberta-hate-speech-dynabench-r4-target

Content controls: not assessed.

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

Download availability is being checked.

Hashes recorded. Date not recorded.

FileTamanhoSHA-256OrigemBaixar
Weights
model.safetensors498.6 MB
96624a46…c7bd5ffa96624a468e48566db8921a56d08126426da606f0c8c78cfb8ec9e407c7bd5ffa
Download availability is being checked.File metadata
pytorch_model.bin498.7 MB
772c0df3…cad389ad772c0df34d14a88d2e212272794407d079730fae6b313b05c14396d1cad389ad
Download availability is being checked.File metadata
Tokenizer & config
config.json816 bytes
e3a502e6…358d15c3e3a502e6b8623dc154675878e906be31b7c0b4a5bfc71c3b657145bf358d15c3
Download availability is being checked.File metadata
merges.txt456.3 KB
1ce16647…7726adc51ce1664773c50f3e0cc8842619a93edc4624525b728b188a9e0be33b7726adc5
Download availability is being checked.File metadata
special_tokens_map.json239 bytes
378eb3bf…22ae554d378eb3bf733eb16e65792d7e3fda5b8a4631387ca04d2015199c4d4f22ae554d
Download availability is being checked.File metadata
tokenizer_config.json1.11 KB
ab7c8ea1…3a8d4fe9ab7c8ea1c6c05afd1ee723c80d7460e71c04d88ae0880c06fbca0ef23a8d4fe9
Download availability is being checked.File metadata
vocab.json898.8 KB
06b4d46c…ad5e1cab06b4d46c8e752d410213d9548eb27a54db70fda0319b6271fb8d59dead5e1cab
Download availability is being checked.File metadata
Docs
.gitattributes1.23 KB-Download availability is being checked.File metadata
README.md570 bytes-Download availability is being checked.File metadata

Verificar um 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.