ऐप डाउनलोड करेंऐप पाएँदेखें
CIDAS

clipseg-rd64-refined

Images / vision

Marks the regions of a picture that belong to an object.

On Hugging Bay
Checking

We are checking the files now. The Download box updates when the check finishes.

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
Label image regionsLicense label: apache-2.0SHA-256 recorded for 9 of 11 filessafetensors · BIN
Can I run it?View as JSON →
Quick answer: compatibility and sources

Can I run clipseg-rd64-refined 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.

clipseg-rd64-refined is an open-weights vision model for image segmentation. 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: d00ca85d6b859f9d07b7cfb8ef26fe9771cb275b34c9368f2ecf603139307f55. 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-cidas-clipseg-rd64-refined.
  • Open /artifact/hf-model-cidas-clipseg-rd64-refined/files for exact filenames, availability and any recorded SHA-256 for this model.
  • Open /evidence/artifacts/hf-model-cidas-clipseg-rd64-refined for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-cidas-clipseg-rd64-refined/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
CIDAS/clipseg-rd64-refined

Content controls: not assessed.

The catalog lists this model for segmenting images. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

Download availability is being checked.

Hashes recorded. Date not recorded.

FileआकारSHA-256स्रोतडाउनलोड करें
Weights
model.safetensors603 MB
d00ca85d…39307f55d00ca85d6b859f9d07b7cfb8ef26fe9771cb275b34c9368f2ecf603139307f55
Download availability is being checked.File metadata
pytorch_model.bin603.1 MB
dd930822…4dcfd08add9308225b8314bb7236f207e6ea72b22db5d90dba03fe3dc7d654f54dcfd08a
Download availability is being checked.File metadata
Tokenizer & config
config.json4.73 KB
c0233759…cf708bcdc023375966d31b3b1392764f7bd91df47098ce19f62f11b0263d8eedcf708bcd
Download availability is being checked.File metadata
merges.txt524.6 KB
9fd691f7…e299051a9fd691f7c8039210e0fced15865466c65820d09b63988b0174bfe25de299051a
Download availability is being checked.File metadata
preprocessor_config.json380 bytes
4fb09ebc…eeac04404fb09ebcfd7651205ca8299b993c30088e5535ef350a72d46c5c4580eeac0440
Download availability is being checked.File metadata
special_tokens_map.json472 bytes
c4864a93…df508eacc4864a9376a8401918425bed71fc14fc0e81f9b59ec45c1cf96cccb2df508eac
Download availability is being checked.File metadata
tokenizer_config.json974 bytes
4c75d57f…33476ca64c75d57fd9bd0be8478ad2d6f8b9cebdd4a45338eb108547329c2b6333476ca6
Download availability is being checked.File metadata
vocab.json1.06 MB—Download availability is being checked.File metadata
Docs
.gitattributes1.43 KB
1765298b…ac0b25a01765298ba035280ac5e6e4595ab9fadd10e66fb301213dea96014ea7ac0b25a0
Download availability is being checked.File metadata
README.md596 bytes
c1e26ac0…5d2fcf25c1e26ac022542015a04d804460bdc1159d753c4349b628e086f127475d2fcf25
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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