NbAiLab

nb-wav2vec2-1b-bokmaal-v2

Audio / speech

Turns recorded speech into written text.

On Hugging Bay
Checking

We are checking the files now. The Download box updates when the check finishes.

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 21 of 30 filesBIN · safetensors
Quick answer: compatibility and sources

Can I run nb-wav2vec2-1b-bokmaal-v2 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.

nb-wav2vec2-1b-bokmaal-v2 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: 6ab493ecc739df905d0decdc09ce1d9ee4453987bb1bdbcf2e8b06642b3c47b6. 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-nbailab-nb-wav2vec2-1b-bokmaal-v2.
  • Open /artifact/hf-model-nbailab-nb-wav2vec2-1b-bokmaal-v2/files for exact filenames, availability and any recorded SHA-256 for this model.
  • Open /evidence/artifacts/hf-model-nbailab-nb-wav2vec2-1b-bokmaal-v2 for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-nbailab-nb-wav2vec2-1b-bokmaal-v2/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
NbAiLab/nb-wav2vec2-1b-bokmaal-v2

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.safetensors3.85 GB
6ab493ec…2b3c47b66ab493ecc739df905d0decdc09ce1d9ee4453987bb1bdbcf2e8b06642b3c47b6
Download availability is being checked.File metadata
language_model/5gram.bin4.24 GB
7b41c24c…c35ef0ff7b41c24c63f2f0585bea83666369593f3b3e6d047f327a90f36ebca2c35ef0ff
Download availability is being checked.File metadata
pytorch_model.bin3.85 GB
0de5c9ba…91b189b60de5c9ba91acd5844605a71e621f73b3dd9f9acbfb283d3d835b44a491b189b6
Download availability is being checked.File metadata
training_args.bin3.06 KB
d63c31e6…75ccdee2d63c31e6cdc4ad990144c981422252a8ee34040e3eb92deeb7c6f36e75ccdee2
Download availability is being checked.File metadata
Tokenizer & config
add_kenlm.py1.26 KB
dea8d1cf…bcb11738dea8d1cfa981d9f2efec446c13904d22791202384eaef6756ff187e7bcb11738
Download availability is being checked.File metadata
added_tokens.json23 bytes
88f73c91…08631c7d88f73c913695cb5ef83a96ea2a5f08289e7c38979cf32f3d98026dcd08631c7d
Download availability is being checked.File metadata
alphabet.json258 bytes
f4a34076…f48280c2f4a340760e36b38ad92db87b8c4c6fc4a0e97443486969593f9abbf5f48280c2
Download availability is being checked.File metadata
cardinal_numbers.py27.3 KB
e06245cf…d1733ae6e06245cf2f9280c97339079bf57eb2373b07ea29abb70a753aeaa155d1733ae6
Download availability is being checked.File metadata
config.json2.04 KB
5c105691…87cd3b005c1056914dfb0540fe7756f97d436987b28dd6f078defa9f406516ce87cd3b00
Download availability is being checked.File metadata
eval.py10.7 KB
df28115f…eceaadeadf28115f71ae5e66fad5aeb8df0290fed42c96aeaa4a886709485959eceaadea
Download availability is being checked.File metadata
language_model/attrs.json78 bytes
f5ffd02e…4317d6adf5ffd02e1ceef6517476e72ebe7997ddef7e92d27cb5a23d6695d64c4317d6ad
Download availability is being checked.File metadata
language_model/unigrams.txt16.8 MB
ac3e71ca…7c19b9a9ac3e71ca49838ca355df6fdcb8d89344a5a9bf9e1a76587cdf5df1367c19b9a9
Download availability is being checked.File metadata
preprocessor_config.json260 bytes
8f9f560d…72a6c5ad8f9f560daa144e525174a9ce159ac4d168e010006d6c3e46cad02cae72a6c5ad
Download availability is being checked.File metadata
run.sh1.4 KB
3ee34278…dc3bf61d3ee342786050807a104aa1de84e24269d461ac8f24ca5a843d421ee5dc3bf61d
Download availability is being checked.File metadata
run_speech_recognition_ctc.py33.9 KB
3419c74c…1bfd3bd23419c74c44f7987d7b463eb53343b7d4f0d134650830cce451fe961d1bfd3bd2
Download availability is being checked.File metadata
special_tokens_map.json695 bytes
f5ec6860…f8793087f5ec6860161cef6dfcba2ae449a2565a08367acc1df8c6339b4f2d55f8793087
Download availability is being checked.File metadata
tokenizer_config.json318 bytes
f7188aa6…c56c64d6f7188aa61db5681fbbb1445440c1976ebd5c02d314a532f2f5fcc0a7c56c64d6
Download availability is being checked.File metadata
vocab.json352 bytes
2845960b…781c95402845960b07c17f6dae3acd31d4080499bf32e648fb9e1dd3efb9c48f781c9540
Download availability is being checked.File metadata
Docs
.gitattributes1.96 KB
ac840cdb…cf4bdcc7ac840cdb02777dfac0d420535687b2eca2c6b41086369dd71bfe8ec2cf4bdcc7
Download availability is being checked.File metadata
README.md28 bytes
98b45ea8…604d4b7498b45ea81164d1e1a1dd82255207053b15cd6c69d922a1c5cf3387ce604d4b74
Download availability is being checked.File metadata
README.org.md64.4 KB
a2ad19df…f09c300da2ad19dfa151dd4999440f973325b6c22436092143e6e5f855041793f09c300d
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.