T-Systems-onsite

cross de fr roberta sentence transformer

Search / embeddings

This receipt records checks for this exact file; it does not prove safety or that it will run on your device. Read the receipt

Model details
text embeddingsLicense: mitSHA-256 recorded for 8 of 11 filessafetensors · BIN · H5
Quick answer: compatibility and sources

Can I run cross-de-fr-roberta-sentence-transformer 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.

cross-de-fr-roberta-sentence-transformer is an embedding model for text embeddings. 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: 8570529041b99856613cff32acd0622a384b5b184ac134b992c01ecb926ff1eb. 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-t-systems-onsite-cross-de-fr-roberta-sentence-transformer.
  • Open /artifact/hf-model-t-systems-onsite-cross-de-fr-roberta-sentence-transformer/files for exact filenames, availability and any recorded SHA-256 for this model.
  • Open /evidence/artifacts/hf-model-t-systems-onsite-cross-de-fr-roberta-sentence-transformer for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-t-systems-onsite-cross-de-fr-roberta-sentence-transformer/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
T-Systems-onsite/cross-de-fr-roberta-sentence-transformer

Content controls: not assessed.

The catalog lists this model for turning text into vectors. Catalog sources: license, tags, task.

Download availability is being checked.

Hashes recorded. Date not recorded.

FileGrößeSHA-256QuelleHerunterladen
Weights
model.safetensors1.11 GB
85705290…926ff1eb8570529041b99856613cff32acd0622a384b5b184ac134b992c01ecb926ff1eb
Download availability is being checked.File metadata
pytorch_model.bin0 bytes—Download availability is being checked.File metadata
Tokenizer & config
config.json680 bytes
71ac5203…93c214e071ac5203aaa7b687e70bf2a23f83a39e79da2a4f87cecb76d6e0159e93c214e0
Download availability is being checked.File metadata
sentence_bert_config.json53 bytes
70f4448f…b0aa5a1f70f4448f31320443fe3557cacea5abf2dcc4915dda8c80646bec9f3bb0aa5a1f
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
test_results.json412 bytes
96afa29f…737bda2b96afa29ff74af510a345bef256a3877204c3ae63331a618649a8eeee737bda2b
Download availability is being checked.File metadata
tokenizer_config.json498 bytes
4be36c1b…6600d6384be36c1b199dfea38d8264cd2205558fd3afe993db3effcbe4c5022c6600d638
Download availability is being checked.File metadata
tf_model.h50 bytes—Download availability is being checked.File metadata
Docs
README.md311 bytes
dd968323…b28b0b28dd9683230faea9b3f2d12459ab6330c98035ead484b4b19ac560512fb28b0b28
Download availability is being checked.File metadata
.gitattributes0 bytes—Download availability is being checked.File metadata

Einen Download prüfen

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.