mesolitica

sentiment-analysis-nanot5-small-malaysian-cased

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Model details
Classify textLicense: unknownSHA-256 recorded for 6 of 9 filessafetensors
Quick answer: compatibility and sources

Can I run sentiment-analysis-nanot5-small-malaysian-cased 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.

sentiment-analysis-nanot5-small-malaysian-cased 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: 8f92c3577218adf6152b74b4eeb10c8a5306709582f28c949c1ec25170091f60. 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-mesolitica-sentiment-analysis-nanot5-small-malaysian-cased.
  • Open /artifact/hf-model-mesolitica-sentiment-analysis-nanot5-small-malaysian-cased/files for exact filenames, availability and any recorded SHA-256 for this model.
  • Open /evidence/artifacts/hf-model-mesolitica-sentiment-analysis-nanot5-small-malaysian-cased for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-mesolitica-sentiment-analysis-nanot5-small-malaysian-cased/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
mesolitica/sentiment-analysis-nanot5-small-malaysian-cased

Content controls: not assessed.

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

Download availability is being checked.

Hashes recorded. Date not recorded.

FileTailleSHA-256SourceTélécharger
Weights
model.safetensors166.5 MB
8f92c357…70091f608f92c3577218adf6152b74b4eeb10c8a5306709582f28c949c1ec25170091f60
Download availability is being checked.File metadata
Tokenizer & config
added_tokens.json2.59 KB
ae2cf4a3…9cf7738dae2cf4a37622ab0d4b6c4bf29cf8869b2e568f810a2ec8b4a95f252b9cf7738d
Download availability is being checked.File metadata
config.json1.05 KB
c2fa22f7…9a60fef9c2fa22f7c4c7d4aefcb56da5ebd691a11c4f464de019f7acd75bd5639a60fef9
Download availability is being checked.File metadata
merges.txt303.3 KB—Download availability is being checked.File metadata
special_tokens_map.json2.25 KB
be1e81e7…23bcf05cbe1e81e7a2815dc806e2e6f97050eccd204080af50b220dbdf88371d23bcf05c
Download availability is being checked.File metadata
tokenizer.json1.38 MB
36db3765…27b9c69a36db37656836da2912a5008389f610496aee06d94a56c46ad5612c2c27b9c69a
Download availability is being checked.File metadata
tokenizer_config.json20.6 KB
bd63c995…43b838fabd63c99538d7f8696f9f1ef864e0f2eff93065da14cff166e87522f243b838fa
Download availability is being checked.File metadata
vocab.json517.2 KB—Download availability is being checked.File metadata
Docs
.gitattributes1.52 KB—Download availability is being checked.File metadata

Vérifier un téléchargement

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.