ऐप डाउनलोड करेंऐप पाएँदेखें
pysentimiento

robertuito-sentiment-analysis

Classify & tag
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 8 of 11 filessafetensors · BIN · H5
Can I run it?View as JSON →
Quick answer: compatibility and sources

Can I run robertuito-sentiment-analysis 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.

robertuito-sentiment-analysis 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: dd3826c93c1fb39e3aca178e133ec8de9e10cb800d00feea68431e70e677a1ed. 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-pysentimiento-robertuito-sentiment-analysis.
  • Open /artifact/hf-model-pysentimiento-robertuito-sentiment-analysis/files for exact filenames, availability and any recorded SHA-256 for this model.
  • Open /evidence/artifacts/hf-model-pysentimiento-robertuito-sentiment-analysis for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-pysentimiento-robertuito-sentiment-analysis/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
pysentimiento/robertuito-sentiment-analysis

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.

FileआकारSHA-256स्रोतडाउनलोड करें
Weights
model.safetensors435.2 MB
dd3826c9…e677a1eddd3826c93c1fb39e3aca178e133ec8de9e10cb800d00feea68431e70e677a1ed
Download availability is being checked.File metadata
pytorch_model.bin435.2 MB
a7d320de…3480aeb4a7d320deba3319f2e0be8b50c091b9d6c1798cbf4a4a26ccc7b22ece3480aeb4
Download availability is being checked.File metadata
training_args.bin2.8 KB
73e12e93…9e6254f773e12e93645ff390c7c7162b01f620d8e28cb70ab82a9316d565de9c9e6254f7
Download availability is being checked.File metadata
Tokenizer & config
config.json925 bytes
ad429d8f…0e1c42aead429d8f11a61d01ae929d8f8b47497cea4b1ff1fc30b77575e9c55c0e1c42ae
Download availability is being checked.File metadata
special_tokens_map.json167 bytes
d05497f1…1afc07a7d05497f1da52c5e09554c0cd874037a083e1dc1b9cfd48034d1c717f1afc07a7
Download availability is being checked.File metadata
test_results.json739 bytes-Download availability is being checked.File metadata
tf_model.h5435.5 MB
bceb342e…9dd42ab5bceb342eef90469ca62cc898e6fe575f56fcc6e648288539d911c5bb9dd42ab5
Download availability is being checked.File metadata
tokenizer.json1.31 MB
7417cb8c…576300987417cb8c0ea491f8b85bda4704e264e960ea0cf35057911a63b20bd657630098
Download availability is being checked.File metadata
tokenizer_config.json384 bytes
c93326bc…469f520dc93326bc2a4b4057fce557d4aba2fad01db943aadba30107360c801d469f520d
Download availability is being checked.File metadata
Docs
.gitattributes1.23 KB-Download availability is being checked.File metadata
README.md4.73 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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