Tarjama models

Browser-ready models used by Tarjama (live translation of the Friday khutba from Arabic into Italian, English or French). They run on the CPU in Chrome with onnxruntime-web and transformers.js.

Folder Model Source License
fastconformer-ar/ Arabic speech recognition, CTC, ONNX int8 (MatMul only, per channel, reduced range) NVIDIA stt_ar_fastconformer_hybrid_large_pcd_v1.0, exported and quantized by Tarjama CC-BY-4.0, ยฉ NVIDIA
opus-mt-tc-bible-big-afa-fra_ita_por_spa/ Arabic โ†’ Italian translation (prefix >>ita<< ), ONNX q8 Helsinki-NLP/opus-mt-tc-bible-big-afa-fra_ita_por_spa, converted with the transformers.js scripts Apache-2.0, ยฉ Helsinki-NLP
opus-mt-ar-it-ort/ Lighter Arabic โ†’ Italian translation (used on phones), q8 Helsinki-NLP/opus-mt-ar-it, converted with the transformers.js scripts Apache-2.0, ยฉ Helsinki-NLP
opus-mt-ar-en/, opus-mt-ar-en-ort/ Arabic โ†’ English translation, q8 Helsinki-NLP/opus-mt-ar-en, ONNX conversion by Xenova Apache-2.0, ยฉ Helsinki-NLP
opus-mt-ar-fr/, opus-mt-ar-fr-ort/ Arabic โ†’ French translation, q8 Helsinki-NLP/opus-mt-ar-fr, converted with the transformers.js scripts Apache-2.0, ยฉ Helsinki-NLP

fastconformer-ar/model.int8.ort and the *-ort/ folders hold the same models in ONNX Runtime's ORT format (optimization level "extended"; the translation files keep their .onnx names for transformers.js). The web app loads them with the weights used in place, which roughly halves the memory; the output is identical.

Changes from the originals: format conversion (ONNX, ORT) and weight quantization only.

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