ऐप डाउनलोड करेंऐप पाएँदेखें
mideind

IceBERT

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What we checked

File: check availability in Files.

Memory: Fit unknown. File size needed to check fit.

Last recorded run: none for this selected file.

License BFiles CRuns F

Recorded checks do not guarantee safety or performance on your computer.

See file checks and sources
Model details
Fill in missing wordsLicense label: cc-by-4.0SHA-256 recorded for 7 of 9 filessafetensors · BIN
Can I run it?View as JSON →
Quick answer: compatibility and sources

Can I run IceBERT 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.

IceBERT 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: 8b7daed5f856243fd7a55b5d021a5f761d11d170ff78080564e4284b3d2e485a. 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-mideind-icebert.
  • Open /artifact/hf-model-mideind-icebert/files for exact filenames, availability and any recorded SHA-256 for this model.
  • Open /evidence/artifacts/hf-model-mideind-icebert for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-mideind-icebert/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
mideind/IceBERT

Content controls: not assessed.

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

Download availability is being checked.

Hashes recorded. Date not recorded.

FileआकारSHA-256स्रोतडाउनलोड करें
Weights
model.safetensors651.8 MB
8b7daed5…3d2e485a8b7daed5f856243fd7a55b5d021a5f761d11d170ff78080564e4284b3d2e485a
Download availability is being checked.File metadata
pytorch_model.bin651.8 MB
9edb9a93…3cacc3b69edb9a935877ed5c1fec314ab84b41db258ae0586416f5c2902b73413cacc3b6
Download availability is being checked.File metadata
Tokenizer & config
config.json516 bytes
bb2aab75…a5d183c7bb2aab75de313a000361546746865e7ecbfc1699b013e2bd19730b29a5d183c7
Download availability is being checked.File metadata
merges.txt595.1 KB
471f0071…39fe8dfa471f0071ad08185f525016d1dd224ea5b3b9932ff7ae5a833303037439fe8dfa
Download availability is being checked.File metadata
special_tokens_map.json772 bytes
c611b1f7…2743fd00c611b1f7d416eb001ee4f293d903ea8c88e703463f1d403f1866a0352743fd00
Download availability is being checked.File metadata
tokenizer_config.json940 bytes
d1b20de8…fbc18cc7d1b20de886b976382c12deceb6444477064b3f19aea42be01362eb7dfbc18cc7
Download availability is being checked.File metadata
vocab.json1.03 MB
a0805beb…369e2ffea0805beb6192f40e2fe03917339a5b77da7ebbbf27e357e3cabc49f9369e2ffe
Download availability is being checked.File metadata
Docs
.gitattributes1.23 KB-Download availability is being checked.File metadata
README.md3.25 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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