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Download README.md from Interscript/ara-diac-small-2.1-int8: direct link, hf CLI and curl.
- Browser
- Download file 1.37 kB
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https://huggingface.co/Interscript/ara-diac-small-2.1-int8/resolve/main/README.md
- Command line
-
hf download hf://Interscript/ara-diac-small-2.1-int8/README.md
-
curl -L -o README.md https://huggingface.co/Interscript/ara-diac-small-2.1-int8/resolve/main/README.md
1.37 kB
metadata
license: bsd-3-clause
language: ar
inference: false
tags:
- secryst
- transliteration
- diacritization
- onnx
- byt5
ara-diac-small-2.1-int8
Part of the Secryst phonological-layer family — a dedicated model for diacritization (AR), distributed as a Secryst IMF artifact and loadable through any Secryst crystal:
from secryst import Model
Model.load("ara-diac-small-2.1-int8")
- Artifact:
ara-diac-small-2.1-int8.zip(0.25 GiB)
Measured quality
Full evaluation sets, zero skipped examples, the benchmark's own evaluator. Provenance for every number is the results record of the training project.
| metric | value | provenance |
|---|---|---|
| der_teacher_fullset | 2.289 | interscript/interscript-ml docs/RESULTS.md#run-006-r7-muon |
| der_student_fullset | 4.5701 | interscript/interscript-ml docs/RESULTS.md#run-006-r7-muon |
License
BSD-3-CLAUSE
Provenance
Trained in the Secryst training monorepo and published through the interscript-ml distribution contract (models.yaml index, sha256-verified release assets, parity-gated artifacts). The canonical download channel is GitHub Releases; this repository is the Hugging Face mirror of the same bytes, pinned to the index revision.