ऐप डाउनलोड करेंऐप पाएँ
neuroheart

whisper small manglish

Audio / speech

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
speech recognitionLicense: apache-2.0SHA-256 recorded for 7 of 11 filessafetensors · BIN
Can I run it?View as JSON →
Quick answer: compatibility and sources

Can I run whisper-small-manglish 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.

whisper-small-manglish is an open-weights audio model for speech recognition. 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: 4bb0d5be7534f72d09866f798f9bfd4d51085954b41be70badde98458e966de8. 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-neuroheart-whisper-small-manglish.
  • Open /artifact/hf-model-neuroheart-whisper-small-manglish/files for exact filenames, availability and any recorded SHA-256 for this model.
  • Open /evidence/artifacts/hf-model-neuroheart-whisper-small-manglish for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-neuroheart-whisper-small-manglish/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
neuroheart/whisper-small-manglish

Content controls: not assessed.

The catalog lists this model for transcribing speech. Catalog sources: license, cardMetadata.license, baseModel, task, cardMetadata.pipelineTag.

Download availability is being checked.

Hashes recorded. Date not recorded.

FileआकारSHA-256स्रोतडाउनलोड करें
Weights
model.safetensors967 MB
4bb0d5be…8e966de84bb0d5be7534f72d09866f798f9bfd4d51085954b41be70badde98458e966de8
Download availability is being checked.File metadata
training_args.bin5.33 KB
1554b5b7…14d126031554b5b7f865f52246bedc58322be68e83621349996b6e9cde06eeb614d12603
Download availability is being checked.File metadata
Tokenizer & config
config.json1.35 KB
f2bd2e32…6c88823cf2bd2e323ba09843278cca7d217077acb4c25fcf09774092d4f9efc46c88823c
Download availability is being checked.File metadata
generation_config.json3.87 KB
4c0a7c66…d7e4dea64c0a7c66210f28699dbaf6f1abc977178d3f6f90f1b2593835f9cb47d7e4dea6
Download availability is being checked.File metadata
handler.py2.81 KB—Download availability is being checked.File metadata
processor_config.json409 bytes
8c648fa8…4df50e688c648fa85aafc59a07435ed751322499bd4238b819ca9200ddd2b5ba4df50e68
Download availability is being checked.File metadata
requirements.txt15 bytes—Download availability is being checked.File metadata
tokenizer.json3.93 MB
2c69d27c…6cef98ed2c69d27c1218df0350ab456f390d2f0b5faae0a8c43512fdc3b37b176cef98ed
Download availability is being checked.File metadata
tokenizer_config.json2.13 KB
ce6b81c8…2255fad6ce6b81c8e95eec40027cf010ebc05a80ae181a11d72cbb6b646036082255fad6
Download availability is being checked.File metadata
Docs
.gitattributes1.52 KB—Download availability is being checked.File metadata
README.md1.24 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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