TKU410410103

hubert-large-japanese-asr

Audio / speech

Transcribes spoken audio into text.

On Hugging Bay
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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
Transcribe speechLicense label: apache-2.0SHA-256 recorded for 8 of 9 filessafetensors
Quick answer: compatibility and sources

Can I run hubert-large-japanese-asr 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.

hubert-large-japanese-asr 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: 6e194997d6a7e3a8072a0ae4eeb4880e13f259a2fe7fb505143b9de927263c4d. 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-tku410410103-hubert-large-japanese-asr.
  • Open /artifact/hf-model-tku410410103-hubert-large-japanese-asr/files for exact filenames, availability and any recorded SHA-256 for this model.
  • Open /evidence/artifacts/hf-model-tku410410103-hubert-large-japanese-asr for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-tku410410103-hubert-large-japanese-asr/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
TKU410410103/hubert-large-japanese-asr

Content controls: not assessed.

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

Download availability is being checked.

Hashes recorded. Date not recorded.

File大小SHA-256来源下载
Weights
model.safetensors1.26 GB
6e194997…27263c4d6e194997d6a7e3a8072a0ae4eeb4880e13f259a2fe7fb505143b9de927263c4d
Download availability is being checked.File metadata
Tokenizer & config
added_tokens.json32 bytes
bd0237d8…97f39750bd0237d84ed31ea904509d45ac5adc68029c16b064f46732dc87772097f39750
Download availability is being checked.File metadata
config.json1.64 KB
ef340527…9267179cef3405279573df51af754c36e1047d553c7f34ba091b28611522beeb9267179c
Download availability is being checked.File metadata
preprocessor_config.json256 bytes
ffc72f47…1452a8d8ffc72f475cd79680d5d659fbaefc691cdbcee5c9703a15faf708a5e91452a8d8
Download availability is being checked.File metadata
special_tokens_map.json96 bytes
f17f705b…d3e4fc90f17f705b191ddb9aef0b42e40869d325d79b2a1e229e0d51d72698b5d3e4fc90
Download availability is being checked.File metadata
tokenizer_config.json1.1 KB
a422b832…037e0b41a422b832cd45d675829016ad69b007dd6f0d3bc499c523e686a2bfcd037e0b41
Download availability is being checked.File metadata
vocab.json1.57 KB
cbac2660…22d182accbac266078b1dbf1dabe53091aa31334c22e9862687d31fec8a612c722d182ac
Download availability is being checked.File metadata
Docs
.gitattributes1.52 KB—Download availability is being checked.File metadata
README.md7.6 KB
e8f9bbfa…6029dd5de8f9bbfa1eac08ce681599df5e664cd0439c58973e09e2b8020106956029dd5d
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.