Davlan

xlm-roberta-base-ner-hrl

Classify & tag
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
Label parts of textLicense label: afl-3.0SHA-256 recorded for 7 of 9 filessafetensors · BIN
Quick answer: compatibility and sources

Can I run xlm-roberta-base-ner-hrl 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.

xlm-roberta-base-ner-hrl 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: 49530ba99295b5992caafa1f361a658206094d26c74bbe5248cd64a0c4270061. 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-davlan-xlm-roberta-base-ner-hrl.
  • Open /artifact/hf-model-davlan-xlm-roberta-base-ner-hrl/files for exact filenames, availability and any recorded SHA-256 for this model.
  • Open /evidence/artifacts/hf-model-davlan-xlm-roberta-base-ner-hrl for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-davlan-xlm-roberta-base-ner-hrl/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
Davlan/xlm-roberta-base-ner-hrl

Content controls: not assessed.

The catalog lists this model for labeling parts of text. Catalog sources: license label, model card license, task label, model card task.

Download availability is being checked.

Hashes recorded. Date not recorded.

FileTailleSHA-256SourceTélécharger
Weights
model.safetensors1.11 GB
49530ba9…c427006149530ba99295b5992caafa1f361a658206094d26c74bbe5248cd64a0c4270061
Download availability is being checked.File metadata
pytorch_model.bin1.11 GB
168d0500…39422604168d05007b148d965cfacc2c5338bbb6b2850e48e1e7a069d7396c0e39422604
Download availability is being checked.File metadata
training_args.bin1.52 KB
51cab818…ea5d764451cab81814224af5f90f3aa852cfac91b6203ac6bcfe6eabc7185f2fea5d7644
Download availability is being checked.File metadata
Tokenizer & config
config.json980 bytes
b39f5cda…0c02222fb39f5cdaa31793288077859feb3d4e742b2d5a1226fe3374e97fc0220c02222f
Download availability is being checked.File metadata
sentencepiece.bpe.model5.07 MB
cfc8146a…e0db2865cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
Download availability is being checked.File metadata
special_tokens_map.json150 bytes
7638f5bb…e8da11507638f5bbbe86ef6d604ef28ad3647dc690d6d117c81c0d63e885416be8da1150
Download availability is being checked.File metadata
tokenizer_config.json211 bytes
25784ba4…ff27b29f25784ba43a0c3aa2afaa08cd4e89795117a2c82e56f4fff50fb0b8dcff27b29f
Download availability is being checked.File metadata
Docs
.gitattributes1.23 KB-Download availability is being checked.File metadata
README.md3.05 KB-Download availability is being checked.File metadata

Vérifier un téléchargement

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.