hateBERT
GroNLP/hateBERTQuick answer: compatibility and sources
Can I run hateBERT on my computer?
It depends on your memory, processor, file format and runtime. Hugging Bay offers 6 hosted files; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.
hateBERT 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: cb94873296dcaec2610a460b3ffb0510dad758386db59b394320511c3cd1b3b7. 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.
Updated · Page-copy source revision 8871bab84e1cf80aea1686a944ec335078a6c036 · Source files: apps/web/lib/model-page-template.mjs, apps/web/lib/model-page-v3.mjs, apps/web/lib/aeo-page.mjs · Full revision record
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-gronlp-hatebert.
- Open /artifact/hf-model-gronlp-hatebert/files for this exact filenames, availability and any recorded SHA-256.
- Open /evidence/artifacts/hf-model-gronlp-hatebert for run-readiness evidence tied to that record; absent receipts stay unmeasured.
- Open /api/artifacts/hf-model-gronlp-hatebert/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.
6 hosted of 9 listed
Hashes recorded. Date not recorded.
| File | आकार | SHA-256 | स्रोत | डाउनलोड करें |
|---|---|---|---|---|
| Weights | ||||
model. | 440.4 MB |
| Hosted | डाउनलोड करें |
pytorch_ | 440.5 MB |
| Upstream only | File metadata |
| Tokenizer & config | ||||
. | 6.15 KB | — | Upstream only | File metadata |
config. | 1.24 KB |
| Hosted | डाउनलोड करें |
tokenizer_ | 151 bytes |
| Hosted | डाउनलोड करें |
vocab. | 231.5 KB |
| Hosted | डाउनलोड करें |
special_ | 112 bytes |
| Hosted | डाउनलोड करें |
| Docs | ||||
. | 791 bytes | — | Upstream only | File metadata |
README. | 2.57 KB |
| Hosted | डाउनलोड करें |
डाउनलोड की जाँच करें
In the folder where you saved README.md, run:
shasum -a 256 -- 'README.md'
sha256sum -- 'README.md'
Get-FileHash -LiteralPath 'README.md' -Algorithm SHA256
Compare the result with the recorded SHA-256.