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AI models that run on this device.

Two small chat models run in a computer’s browser here; every other model is a file you download.

albert

albert-base-v2

albert/albert-base-v2
Model details
masked-language modelingLicense: apache-2.0Hashes recordedsafetensors · BIN · H5

Content controls: not assessed.

The catalog lists this model for filling in missing words in text. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

Quick answer: compatibility and sources

Can I run albert-base-v2 on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 10 hosted files; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

albert-base-v2 is an open-weights language model for masked-language modeling. 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: d24c30ec641e40087eed68adf958afe2dab0432790ec3ffa88b31ce773ae33eb. 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-albert-albert-base-v2.
  • Open /artifact/hf-model-albert-albert-base-v2/files for this exact filenames, availability and any recorded SHA-256.
  • Open /evidence/artifacts/hf-model-albert-albert-base-v2 for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-albert-albert-base-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.

10 hosted of 12 listed

Hashes recorded. Date not recorded.

File大小SHA-256来源下载
Weights
model.safetensors47.4 MB
d24c30ec…73ae33ebd24c30ec641e40087eed68adf958afe2dab0432790ec3ffa88b31ce773ae33eb
Hosted下载
pytorch_model.bin47.4 MB
46704a4f…df07029946704a4f59d6665d1f0c4fe5cda17dd6308beead11193d7572641166df070299
Hosted下载
Tokenizer & config
config.json684 bytes
f5b7ef28…9351dc03f5b7ef285a15ebbc7043b23284e60ac6f6de8d0a6051e282dfdf81da9351dc03
Hosted下载
flax_model.msgpack44.9 MB
40dc942f…a4faacc740dc942fcc79e8e88956b39eb097f1a116e7b492c80fc4d5b817c973a4faacc7
Hosted下载
rust_model.ot62.7 MB
3b207f0b…4c11cdfd3b207f0b36b2d7b7388456ee42f8c469dd842939b1933003ba560ccc4c11cdfd
Hosted下载
spiece.model760.3 KB
fefb02b6…a02d0336fefb02b667a6c5c2fe27602d28e5fb3428f66ab89c7d6f388e7c8d44a02d0336
Hosted下载
tf_model.h563 MB
d894ce4d…c2f71211d894ce4dc1051893a3c41f4ea1a9a50fca7b977086e7f28eb0525c45c2f71211
Hosted下载
tokenizer.json1.31 MB
6e2aa3d5…ec4d2ac36e2aa3d5ca4c6841bc36a5028179cb4d63c129931fa18fce38fdb38cec4d2ac3
Hosted下载
tokenizer_config.json25 bytes
994f4675…aecd18ce994f46754c5bf4014f1aa92d34b1374319c3a6b3f702105cd5b742beaecd18ce
Hosted下载
with-prefix-tf_model.h563 MB
d894ce4d…c2f71211d894ce4dc1051893a3c41f4ea1a9a50fca7b977086e7f28eb0525c45c2f71211
Upstream onlyFile metadata
Docs
.gitattributes445 bytes
98c91dab…927304c198c91dabef4df27b2fc7c8454d220aba47476f73593cbd034d961fe4927304c1
Upstream onlyFile metadata
README.md9.75 KB
aa29d371…56502772aa29d37125110a1dcec4a91f33efb33c5102bca6052ac70cfd9d63e056502772
Hosted下载

检查下载文件

In the folder where you saved .gitattributes, run:

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

Compare the result with the recorded SHA-256.

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