README.md

metadata

license: cc-by-4.0
tags:
  - translation
  - marian
  - windyword
  - urdu
  - english
language:
  - ur
  - en
library_name: transformers
pipeline_tag: translation

WindyWord.ai Translation — Urdu → English

Translates Urdu → English.

Quality Rating: ⭐⭐⭐⭐ (4.0★ Standard)

Part of the WindyWord.ai translation fleet — 1,800+ proprietary language pairs.

Quality & Pricing Tier

• 5-star rating: 4.0★ ⭐⭐⭐⭐
• Tier: Standard
• Composite score: 73.0 / 100
• Rated via: Grand Rounds v2 — an 8-test stress battery (paragraphs, multi-paragraph, native input, domain stress, edge cases, round-trip fidelity, speed, and consistency checks)

Available Variants

This repository contains multiple deployment formats. Pick the one that matches your use case:

Variant	Description
lora/	WindyStandard — our proprietary production baseline. Stable, reliable, optimized for GPU inference.
lora-ct2-int8/	WindyStandard · CPU INT8 — CTranslate2 quantized version of WindyStandard. ~25% of the size, 2–4× faster on CPU, no measurable quality loss.
herm0-scripture/	WindyScripture — verse-aligned fine-tune on the eBible parallel corpus. Specialized for biblical text; not recommended for general translation.
scripture-ct2-int8/	WindyScripture · CPU INT8 — CTranslate2 quantized WindyScripture.

Quick usage

Transformers (PyTorch):

from transformers import MarianMTModel, MarianTokenizer
tokenizer = MarianTokenizer.from_pretrained("WindyWord/translate-ur-en", subfolder="lora")
model = MarianMTModel.from_pretrained("WindyWord/translate-ur-en", subfolder="lora")

CTranslate2 (fast CPU inference):

import ctranslate2
translator = ctranslate2.Translator("path/to/translate-ur-en/lora-ct2-int8")

Commercial Use

The WindyWord.ai platform provides:

• Mobile apps (iOS, Android — coming soon)
• Real-time voice-to-text-to-translation pipeline
• API access with premium model quality
• Offline deployment support

Visit windyword.ai for apps and commercial API access.

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Provenance & License

Weights derived from the OPUS-MT project (Helsinki-NLP/opus-mt-ur-en) under CC-BY-4.0. WindyStandard, WindyEnhanced, and WindyScripture variants are proprietary to WindyWord.ai, independently trained and quality-certified via our Grand Rounds v2 test battery.

Licensed CC-BY-4.0 — attribution preserved as required.

Certified by Opus 4.6 Opus-Claw (Dr. C) on Veron-1 (RTX 5090). Patient file: clinic record