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README.md
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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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- english
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language:
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- wls
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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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# WindyWord.ai Translation — wls → English
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**Translates wls → English.**
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**Quality Rating: ⭐⭐½ (2.5★ Basic)**
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Part of the [WindyWord.ai](https://windyword.ai) translation fleet — 1,800+ proprietary language pairs.
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## Quality & Pricing Tier
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- **5-star rating:** 2.5★ ⭐⭐½
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- **Tier:** Basic
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- **Composite score:** 52.5 / 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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## Available Variants
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This repository contains multiple deployment formats. Pick the one that matches your use case:
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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/` | **WindyEnhanced** — deep fine-tuned on OPUS-100, Tatoeba, and WikiMatrix parallel corpora. Measurably higher translation quality on supported pairs. |
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| `herm0-ct2-int8/` | **WindyEnhanced · CPU INT8** — CTranslate2 quantized WindyEnhanced. Premium quality, CPU-efficient. |
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### Quick usage
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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-wls-en", subfolder="lora")
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model = MarianMTModel.from_pretrained("WindyWord/translate-wls-en", subfolder="lora")
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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-wls-en/lora-ct2-int8")
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```
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## Commercial Use
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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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Visit [windyword.ai](https://windyword.ai) for apps and commercial API access.
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---
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## Provenance & License
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Weights derived from the OPUS-MT project ([Helsinki-NLP/opus-mt-wls-en](https://huggingface.co/Helsinki-NLP/opus-mt-wls-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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Licensed CC-BY-4.0 — attribution preserved as required.
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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/wls-en.json)*
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