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llmlingua-2-xlm-roberta-large-meetingbank

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Model details
Label parts of textLicense label: mitHashes recordedsafetensors
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Quick answer: compatibility and sources

Can I run llmlingua-2-xlm-roberta-large-meetingbank on my computer?

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llmlingua-2-xlm-roberta-large-meetingbank is an open-weights language model for token classification. 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: a33a153b2493bff6be06af6921e69de9c0d0bb6ff06fe5bbb68670ba8d980ae2. 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.

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Key facts

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  • This page’s quick answer names the file record for hf-model-microsoft-llmlingua-2-xlm-roberta-large-meetingbank.
  • Open /artifact/hf-model-microsoft-llmlingua-2-xlm-roberta-large-meetingbank/files for exact filenames, availability and any recorded SHA-256 for this model.
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Page-copy revision (Updated line above) identifies committed text sources, not upstream model edits or test outcomes.

Requirements and source record
microsoft/llmlingua-2-xlm-roberta-large-meetingbank

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FileआकारSHA-256स्रोतडाउनलोड करें
Weights
model.safetensors2.24 GB
a33a153b…8d980ae2a33a153b2493bff6be06af6921e69de9c0d0bb6ff06fe5bbb68670ba8d980ae2
Download availability is being checked.File metadata
Tokenizer & config
config.json752 bytes
a3fdcf4e…da327706a3fdcf4e63057797101ecc84412bc654f9adb4e8d4ed3c91c5afb28eda327706
Download availability is being checked.File metadata
special_tokens_map.json280 bytes
06e405a3…6318067f06e405a36dfe4b9604f484f6a1e619af1a7f7d09e34a8555eb0b77b66318067f
Download availability is being checked.File metadata
tokenizer.json17.1 MB
f59925fc…c39b81aff59925fcb90c92b894cb93e51bb9b4a6105c5c249fe54ce1c704420ac39b81af
Download availability is being checked.File metadata
tokenizer_config.json1.15 KB
f9002414…ff90f737f90024142df07163e5e6c5b9a6ad7c8c68b22a9112af11e3db4559a9ff90f737
Download availability is being checked.File metadata
Docs
.gitattributes1.57 KB
34448b82…e012a93034448b82c17d60fec9b65b1f093c115ddbaadc04beb1b0140b6bfed2e012a930
Download availability is being checked.File metadata
README.md3.27 KB
7c6765b0…cb06423a7c6765b0f7c43cd79dfdec165666d46b31bf72398e07332fb8aa999fcb06423a
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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