l3cube-pune

hindi-bert-v2

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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 8 of 9 filessafetensors · BIN
Quick answer: compatibility and sources

Can I run hindi-bert-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.

hindi-bert-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: 6678376d5349f3479b5784caa3887cfd51b0cb1ee1700d7fa20f3e6251e1412a. 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-l3cube-pune-hindi-bert-v2.
  • Open /artifact/hf-model-l3cube-pune-hindi-bert-v2/files for exact filenames, availability and any recorded SHA-256 for this model.
  • Open /evidence/artifacts/hf-model-l3cube-pune-hindi-bert-v2 for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-l3cube-pune-hindi-bert-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
l3cube-pune/hindi-bert-v2

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.

FileTamanhoSHA-256OrigemBaixar
Weights
model.safetensors951 MB
6678376d…51e1412a6678376d5349f3479b5784caa3887cfd51b0cb1ee1700d7fa20f3e6251e1412a
Download availability is being checked.File metadata
pytorch_model.bin951.1 MB
68ceae13…a4f5547968ceae133cf6465e30b8e182af97bf993b7ece94664c3311c727b1e8a4f55479
Download availability is being checked.File metadata
Tokenizer & config
config.json663 bytes
47e67343…2a9b84a147e67343e293b308d23c0dd75a6ed667d3c13cdf70a2d1917fe87a0b2a9b84a1
Download availability is being checked.File metadata
special_tokens_map.json125 bytes
b6d346be…76237ee3b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3
Download availability is being checked.File metadata
tokenizer.json6.41 MB
5549f50b…1e09e72d5549f50b80ce1b0c48d708436e7f51b0923302a2531f81f78c6fd50f1e09e72d
Download availability is being checked.File metadata
tokenizer_config.json453 bytes
18d08bbc…1b2f011d18d08bbca36a9215de65698dc7276c5ca1e1ad5216c1315a45d5e81b1b2f011d
Download availability is being checked.File metadata
vocab.txt3.16 MB
b96cc938…4ee5310bb96cc938b4009d063a605930cb82aef2c91ee52a94e94e6fcb78510d4ee5310b
Download availability is being checked.File metadata
Docs
.gitattributes1.39 KB-Download availability is being checked.File metadata
README.md2.24 KB
5e98b31a…751326745e98b31a4b782101087f2f0cbcf2771b5f5c55918a3d6b0ab313733a75132674
Download availability is being checked.File metadata

Verificar um download

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.