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Add model card

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+ ---
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+ license: cc-by-4.0
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+ tags:
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+ - translation
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+ - marian
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+ - windyword
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+ - ukrainian
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+ - english
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+ language:
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+ - uk
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+ - en
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+ library_name: transformers
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+ pipeline_tag: translation
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+ ---
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+
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+ # WindyWord.ai Translation — Ukrainian → English
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+
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+ **Translates Ukrainian → English.**
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+
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+ **Quality Rating: ⭐⭐⭐⭐½ (4.5★ Premium)**
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+
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+ Part of the [WindyWord.ai](https://windyword.ai) translation fleet — 1,800+ proprietary language pairs.
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+
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+ ## Quality & Pricing Tier
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+
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+ - **5-star rating:** 4.5★ ⭐⭐⭐⭐½
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+ - **Tier:** Premium
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+ - **Composite score:** 82.8 / 100
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+ - **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)
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+
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+ ## Available Variants
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+
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+ This repository contains multiple deployment formats. Pick the one that matches your use case:
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+
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+ | Variant | Description |
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+ |---|---|
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+ | `lora/` | **WindyStandard** — our proprietary production baseline. Stable, reliable, optimized for GPU inference. |
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+ | `lora-ct2-int8/` | **WindyStandard · CPU INT8** — CTranslate2 quantized version of WindyStandard. ~25% of the size, 2–4× faster on CPU, no measurable quality loss. |
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+ | `herm0-scripture/` | **WindyScripture** — verse-aligned fine-tune on the eBible parallel corpus. Specialized for biblical text; not recommended for general translation. |
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+ | `scripture-ct2-int8/` | **WindyScripture · CPU INT8** — CTranslate2 quantized WindyScripture. |
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+
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+ ### Quick usage
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+
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+ **Transformers (PyTorch):**
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+ ```python
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+ from transformers import MarianMTModel, MarianTokenizer
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+ tokenizer = MarianTokenizer.from_pretrained("WindyWord/translate-uk-en", subfolder="lora")
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+ model = MarianMTModel.from_pretrained("WindyWord/translate-uk-en", subfolder="lora")
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+ ```
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+
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+ **CTranslate2 (fast CPU inference):**
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+ ```python
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+ import ctranslate2
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+ translator = ctranslate2.Translator("path/to/translate-uk-en/lora-ct2-int8")
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+ ```
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+
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+ ## Commercial Use
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+
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+ The WindyWord.ai platform provides:
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+ - **Mobile apps** (iOS, Android — coming soon)
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+ - **Real-time voice-to-text-to-translation** pipeline
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+ - **API access** with premium model quality
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+ - **Offline deployment** support
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+
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+ Visit [windyword.ai](https://windyword.ai) for apps and commercial API access.
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+
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+ ---
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+
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+ ## Provenance & License
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+
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+ Weights derived from the OPUS-MT project ([Helsinki-NLP/opus-mt-uk-en](https://huggingface.co/Helsinki-NLP/opus-mt-uk-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.
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+
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+ Licensed CC-BY-4.0 — attribution preserved as required.
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+
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+ *Certified by Opus 4.6 Opus-Claw (Dr. C) on Veron-1 (RTX 5090).*
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+ *Patient file: [clinic record](https://github.com/sneakyfree/Windy-Clinic/blob/main/translation-pairs/uk-en.json)*