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IbrahimAmin

marbertv2-finetuned-egyptian-hate-speech-classification

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What we checked

File: check availability in Files.

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Last recorded run: none for this selected file.

License BFiles CRuns F

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See file checks and sources
Model details
Classify textLicense label: apache-2.0SHA-256 recorded for 6 of 9 filessafetensors · BIN
Can I run it?View as JSON →
Quick answer: compatibility and sources

Can I run marbertv2-finetuned-egyptian-hate-speech-classification 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-classification 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: ebdb2b9d2bf6f61499e4ef7876e5d08b4c6a5705eab72736ab776011c3c1ac3a. 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-classification.
  • Open /artifact/hf-model-ibrahimamin-marbertv2-finetuned-egyptian-hate-speech-classification/files for exact filenames, availability and any recorded SHA-256 for this model.
  • Open /evidence/artifacts/hf-model-ibrahimamin-marbertv2-finetuned-egyptian-hate-speech-classification for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-ibrahimamin-marbertv2-finetuned-egyptian-hate-speech-classification/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-classification

Content controls: not assessed.

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

Download availability is being checked.

Hashes recorded. Date not recorded.

FileआकारSHA-256स्रोतडाउनलोड करें
Weights
model.safetensors651.4 MB
ebdb2b9d…c3c1ac3aebdb2b9d2bf6f61499e4ef7876e5d08b4c6a5705eab72736ab776011c3c1ac3a
Download availability is being checked.File metadata
training_args.bin5.3 KB
b1a91c2e…1e2bcf46b1a91c2eda6b43c3944e3db9826e95ca7e4f21783c3e211216f173b61e2bcf46
Download availability is being checked.File metadata
Tokenizer & config
config.json1.14 KB
f3d65b0f…85d7b062f3d65b0ff26654c8c8a0b41a8b9fdac78be83023d280c1dbaaf35e1c85d7b062
Download availability is being checked.File metadata
special_tokens_map.json125 bytes
b6d346be…76237ee3b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3
Download availability is being checked.File metadata
tokenizer.json2.69 MB
9851d495…9c12cef69851d49506932be1d2a96c2dc2b0350a128f07426662053f7c23b4d89c12cef6
Download availability is being checked.File metadata
tokenizer_config.json1.29 KB
0088a6f8…ef24bceb0088a6f8bcdd4014184fb068b83ebb12896a9db2bb269a71f73de83fef24bceb
Download availability is being checked.File metadata
vocab.txt1.1 MB-Download availability is being checked.File metadata
Docs
.gitattributes1.52 KB-Download availability is being checked.File metadata
README.md9.13 KB-Download availability is being checked.File metadata

डाउनलोड की जाँच करें

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.

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