osiria

bert-tweet-italian-uncased-sentiment

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Model details
Classify textLicense label: apache-2.0SHA-256 recorded for 7 of 8 filessafetensors · BIN
Quick answer: compatibility and sources

Can I run bert-tweet-italian-uncased-sentiment 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.

bert-tweet-italian-uncased-sentiment 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: e8d41e52ecf7691c6cfc80677af9d80b4c2b5322c7cc096ba0d926fd272fe060. 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-osiria-bert-tweet-italian-uncased-sentiment.
  • Open /artifact/hf-model-osiria-bert-tweet-italian-uncased-sentiment/files for exact filenames, availability and any recorded SHA-256 for this model.
  • Open /evidence/artifacts/hf-model-osiria-bert-tweet-italian-uncased-sentiment for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-osiria-bert-tweet-italian-uncased-sentiment/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
osiria/bert-tweet-italian-uncased-sentiment

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.

FileTailleSHA-256SourceTélécharger
Weights
model.safetensors441.1 MB
e8d41e52…272fe060e8d41e52ecf7691c6cfc80677af9d80b4c2b5322c7cc096ba0d926fd272fe060
Download availability is being checked.File metadata
pytorch_model.bin441.1 MB
b74d6e6b…e42d9bb9b74d6e6be5af634d783eaa5b4a04353c72b75b26b1f3e1a51cbaddc5e42d9bb9
Download availability is being checked.File metadata
Tokenizer & config
config.json775 bytes
1ba10d58…ebe8276d1ba10d585a0d3e2716d2c47a14c6d1f84752f941906860c95511fa6eebe8276d
Download availability is being checked.File metadata
special_tokens_map.json286 bytes
29c2f708…1b541f4329c2f7088bc4795b410d849f96c115d9cb68dd7e638a7843699ff1f81b541f43
Download availability is being checked.File metadata
tokenizer_config.json446 bytes
ea940920…8f4a5885ea9409202b226a6c40ae6b215c06f58ec42f26ecabd94afd901d0edb8f4a5885
Download availability is being checked.File metadata
vocab.txt205.6 KB
1456997c…7ae1d4e91456997c4dc5878cb0925c7b69fb4af6fc84c4f6f8c1504ad55473e67ae1d4e9
Download availability is being checked.File metadata
Docs
.gitattributes1.48 KB—Download availability is being checked.File metadata
README.md3.65 KB
86235b05…f265d58a86235b0560f46d52e402d12cf9cceb40af9c054a76ad4ccd921cdc02f265d58a
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.