shyngys879

kazakh-whisper-large-v3-turbo

Audio / speech

Transcribes spoken audio into text.

On Hugging Bay
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Model details
Transcribe speechLicense label: apache-2.0SHA-256 recorded for 9 of 10 filessafetensors
Quick answer: compatibility and sources

Can I run kazakh-whisper-large-v3-turbo 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.

kazakh-whisper-large-v3-turbo 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: 1571df4f1351566c056c65189ff9a98f19decff8e91a995749c837c72bda3584. 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-shyngys879-kazakh-whisper-large-v3-turbo.
  • Open /artifact/hf-model-shyngys879-kazakh-whisper-large-v3-turbo/files for exact filenames, availability and any recorded SHA-256 for this model.
  • Open /evidence/artifacts/hf-model-shyngys879-kazakh-whisper-large-v3-turbo for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-shyngys879-kazakh-whisper-large-v3-turbo/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
shyngys879/kazakh-whisper-large-v3-turbo

Content controls: not assessed.

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

Download availability is being checked.

Hashes recorded. Date not recorded.

File大小SHA-256来源下载
Weights
model.safetensors1.62 GB
1571df4f…2bda35841571df4f1351566c056c65189ff9a98f19decff8e91a995749c837c72bda3584
Download availability is being checked.File metadata
Tokenizer & config
config.json1.22 KB
0ddc8c4a…519d55f70ddc8c4ae3766efcca70abe40bfb330999587baf55fa070c41353853519d55f7
Download availability is being checked.File metadata
generation_config.json2.88 KB
327c80ed…719ff3c2327c80ed5a7af3d5c85efc101a65115e089669f6a31d88d01bf29602719ff3c2
Download availability is being checked.File metadata
preprocessor_config.json316 bytes
02051956…a130d64802051956d42fbab481cba9b17d28c2019c5e15cefde01699a0253e75a130d648
Download availability is being checked.File metadata
processor_config.json410 bytes
8efb801d…0b114a338efb801da889b24fc64a28d0af16d376852508aefb97d497a4c6d2200b114a33
Download availability is being checked.File metadata
tokenizer.json3.93 MB
d8df16b4…e9c776b6d8df16b44c78544bbeb2418fe491281fe0354132d445caddd3f37f20e9c776b6
Download availability is being checked.File metadata
tokenizer_config.json2.1 KB
05790d06…f7729f2705790d06b61b8eed9314e16211f5c6f92a6f5e1cea85e333847b0d56f7729f27
Download availability is being checked.File metadata
training_summary.json755 bytes
063e75e3…c6c657e7063e75e37dad3a01e0d8662847a95ef8036307c71da321372516d95ac6c657e7
Download availability is being checked.File metadata
Docs
README.md11 KB
824fb9d9…cb43000b824fb9d92b54cc517b1e48449d932f4f0f459bc3d1b4509066a648bccb43000b
Download availability is being checked.File metadata
.gitattributes0 bytes—Download availability is being checked.File metadata

检查下载文件

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.