HalogenFlo

phobert vsmec emotion recognition

Classify & tag

This receipt records checks for this exact file; it does not prove safety or that it will run on your device. Read the receipt

Model details
text classificationLicense: mitSHA-256 recorded for 7 of 10 filessafetensors · BIN
Quick answer: compatibility and sources

Can I run phobert-vsmec-emotion-recognition 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.

phobert-vsmec-emotion-recognition 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: 20e2e7dc7d30eceff430b3f153cdc8781beb97f4caee33775a2dcdaff9e2ec72. 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.

Updated · Page-copy source revision 8871bab84e1cf80aea1686a944ec335078a6c036 · Source files: apps/web/lib/model-page-template.mjs, apps/web/lib/model-page-v3.mjs, apps/web/lib/aeo-page.mjs · Full revision record

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-halogenflo-phobert-vsmec-emotion-recognition.
  • Open /artifact/hf-model-halogenflo-phobert-vsmec-emotion-recognition/files for this exact filenames, availability and any recorded SHA-256.
  • Open /evidence/artifacts/hf-model-halogenflo-phobert-vsmec-emotion-recognition for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-halogenflo-phobert-vsmec-emotion-recognition/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
HalogenFlo/phobert-vsmec-emotion-recognition

Content controls: not assessed.

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

Download availability is being checked.

Hashes recorded. Date not recorded.

FileआकारSHA-256स्रोतडाउनलोड करें
Weights
model.safetensors540 MB
20e2e7dc…f9e2ec7220e2e7dc7d30eceff430b3f153cdc8781beb97f4caee33775a2dcdaff9e2ec72
Download availability is being checked.File metadata
training_args.bin5.84 KB
6847931d…5265f3856847931d44b097b28e45a4fe020f3664966579fc53010ac79ead2f805265f385
Download availability is being checked.File metadata
Tokenizer & config
added_tokens.json22 bytes
956163bb…538da326956163bbe8b0625fcc779207447308285eab218ffe0551d3e0deeae5538da326
Download availability is being checked.File metadata
bpe.codes1.14 MB—Download availability is being checked.File metadata
config.json1.02 KB
07ab7e82…924b0aa707ab7e82ae191c99c6912e2288df66a128704f0086283912a8a6e43f924b0aa7
Download availability is being checked.File metadata
special_tokens_map.json167 bytes
d05497f1…1afc07a7d05497f1da52c5e09554c0cd874037a083e1dc1b9cfd48034d1c717f1afc07a7
Download availability is being checked.File metadata
tokenizer_config.json1.2 KB
1ab8f3d8…abb080511ab8f3d8190e83c58f68a33888cb62e8e535e99c33383f4c4e0e8531abb08051
Download availability is being checked.File metadata
vocab.txt895.3 KB
dffd7543…44bad777dffd7543c401fb6567253ae7c3313004532c33d062525250049c616544bad777
Download availability is being checked.File metadata
Docs
.gitattributes1.52 KB—Download availability is being checked.File metadata
README.md2.22 KB—Download availability is being checked.File metadata

डाउनलोड की जाँच करें

In the folder where you saved added_tokens.json, run:

macOS
shasum -a 256 -- 'added_tokens.json'
Linux
sha256sum -- 'added_tokens.json'
Windows
Get-FileHash -LiteralPath 'added_tokens.json' -Algorithm SHA256

Compare the result with the recorded SHA-256.