IbrahimAmin

marbertv2 finetuned egyptian hate speech detection

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Model details
text classificationLicense: apache-2.0SHA-256 recorded for 9 of 10 filessafetensors · BIN
Quick answer: compatibility and sources

Can I run marbertv2-finetuned-egyptian-hate-speech-detection 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.

marbertv2-finetuned-egyptian-hate-speech-detection 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: fbfc4b2c3e62a52971d05b8d3c78cc010b6ddceca97045dce98f06936f922295. 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-ibrahimamin-marbertv2-finetuned-egyptian-hate-speech-detection.
  • Open /artifact/hf-model-ibrahimamin-marbertv2-finetuned-egyptian-hate-speech-detection/files for exact filenames, availability and any recorded SHA-256 for this model.
  • Open /evidence/artifacts/hf-model-ibrahimamin-marbertv2-finetuned-egyptian-hate-speech-detection for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-ibrahimamin-marbertv2-finetuned-egyptian-hate-speech-detection/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
IbrahimAmin/marbertv2-finetuned-egyptian-hate-speech-detection

Content controls: not assessed.

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

Download availability is being checked.

Hashes recorded. Date not recorded.

FileSizeSHA-256SourceDownload
Weights
model.safetensors651.4 MB
fbfc4b2c…6f922295fbfc4b2c3e62a52971d05b8d3c78cc010b6ddceca97045dce98f06936f922295
Download availability is being checked.File metadata
pytorch_model.bin651.5 MB
01b76503…106a630e01b765037c50aa74e03463110923997c7492dd966cdaca7ae2408471106a630e
Download availability is being checked.File metadata
training_args.bin2.8 KB
5dfe71f6…bb8429825dfe71f6122538457cb6f1bb6faab7bdbc5951bbfced3f9f47cf13d3bb842982
Download availability is being checked.File metadata
Tokenizer & config
config.json1.03 KB
554028a7…dbdac917554028a762eb81d1f59ca71f7973849b7447e92107f47f0651a48f0ddbdac917
Download availability is being checked.File metadata
special_tokens_map.json112 bytes
303df45a…5ec200e3303df45a03609e4ead04bc3dc1536d0ab19b5358db685b6f3da123d05ec200e3
Download availability is being checked.File metadata
tokenizer.json1.89 MB
b3ea9899…d2c8adceb3ea989920c68be1ad6a62a2c97aa196781addb9da0961a13463456ed2c8adce
Download availability is being checked.File metadata
tokenizer_config.json344 bytes
25c465c5…2411de5025c465c58d64a61a72d97083b435172e351e9a68468fb4b9b92261fd2411de50
Download availability is being checked.File metadata
vocab.txt1.1 MB
4cbe17fd…f75e25424cbe17fdb035ba4afb5eb9889657b0f9895e2c6bd26574409cf9f8bdf75e2542
Download availability is being checked.File metadata
Docs
.gitattributes1.27 KB—Download availability is being checked.File metadata
README.md3.47 KB
8ebacfd8…517cf5da8ebacfd80c27c4731fa9a08fe70b1af0909751a3756bbcd7118ae966517cf5da
Download availability is being checked.File 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.