ऐप डाउनलोड करेंऐप पाएँदेखें
pysentimiento

bertweet-pt-sentiment

Text generation
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
GeneralNo license statedSHA-256 recorded for 7 of 10 filessafetensors · BIN
Can I run it?View as JSON →
Quick answer: compatibility and sources

Can I run bertweet-pt-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.

bertweet-pt-sentiment is an open-weights language model for general. 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: ff666dd48ce086345516ff2e2ee1e38a90235505d1193ed64461cf295875bace. 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-bertweet-pt-sentiment.
  • Open /artifact/hf-model-pysentimiento-bertweet-pt-sentiment/files for exact filenames, availability and any recorded SHA-256 for this model.
  • Open /evidence/artifacts/hf-model-pysentimiento-bertweet-pt-sentiment for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-pysentimiento-bertweet-pt-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
pysentimiento/bertweet-pt-sentiment

Content controls: not assessed.

The catalog does not give enough information to describe what this model is for. Catalog source: unknown.

Download availability is being checked.

Hashes recorded. Date not recorded.

FileआकारSHA-256स्रोतडाउनलोड करें
Weights
model.safetensors539.6 MB
ff666dd4…5875baceff666dd48ce086345516ff2e2ee1e38a90235505d1193ed64461cf295875bace
Download availability is being checked.File metadata
pytorch_model.bin539.7 MB
b4ee7fba…d15e5ec9b4ee7fba17b5dec93167f55522aec90208911d307d7adf33c496ef04d15e5ec9
Download availability is being checked.File metadata
Tokenizer & config
added_tokens.json22 bytes
73912929…d4ef525473912929ac0f567224032a57d3b3e6a54613afcdc851aba46c3059b4d4ef5254
Download availability is being checked.File metadata
bpe.codes1.04 MB-Download availability is being checked.File metadata
config.json952 bytes
7f0b6fbd…0a4fda737f0b6fbd123333201c8a60db66c159ad204e236bccfd2c1184df70c70a4fda73
Download availability is being checked.File metadata
special_tokens_map.json167 bytes
d05497f1…1afc07a7d05497f1da52c5e09554c0cd874037a083e1dc1b9cfd48034d1c717f1afc07a7
Download availability is being checked.File metadata
tokenizer_config.json562 bytes
b5c75a92…004e1400b5c75a92c5ffb7276ec8e9ecff387d631faddb7be75a296e35c08979004e1400
Download availability is being checked.File metadata
vocab.txt799.2 KB
fb6b15bc…8a7890f1fb6b15bc5d77bef93b8ddbd86e32bda786d4394029b2a9a1d060edb58a7890f1
Download availability is being checked.File metadata
Docs
.gitattributes1.48 KB-Download availability is being checked.File metadata
README.md2.26 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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