HF Model & Benchmark Matrix

24,078 variants · 14,984 scores · 120 benchmarks

Cohere-Speech-Tashkeel-2B

NAMAA-Space/Cohere-Speech-Tashkeel-2B

kind
original
quant
bf16 (16-bit)
family
command
modality
automatic-speech-recognition
root model
CohereLabs/cohere-transcribe-arabic-07-2026
provider
NAMAA-Space
license
apache-2.0
language
ar
context
—
library
transformers
vRAM (GB)
—
size on disk
—
downloads
2,425
likes
22
created
—
last modified
2026-07-13T11:11:49+00:00 (2026)
huggingface
https://huggingface.co/NAMAA-Space/Cohere-Speech-Tashkeel-2B
tags
transformerssafetensorscohere_asrautomatic-speech-recognitionspeech-to-textarabicdiacritizationtashkeelharakatiraabcoherearbase_model:CohereLabs/cohere-transcribe-arabic-07-2026base_model:finetune:CohereLabs/cohere-transcribe-arabic-07-2026license:apache-2.0model-indexendpoints_compatibleregion:us

Benchmark scores (3)

benchmarkcategoryscorecontextconfevidence
WERspeech-asr24.35WER — fully diacritizedmedium| WER — fully diacritized | 24.35% | Strict: any single wrong ḥaraka marks the whole word wrong. |
WERspeech-asr10.13low| **95.30%** | **6.62%** | **5.67%** | **10.13%** |
WERspeech-asr10.13**WER — undiacritized**medium| **WER — undiacritized** | **10.13%** | Letter-level speech-recognition accuracy. |

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Hugging Face model & benchmark data scraped & matrix-ified. 24,078 variants · 14,984 scores · 120 benchmarks.