| --- |
| license: cc-by-4.0 |
| tags: |
| - translation |
| - marian |
| - windyword |
| - spanish |
| - luba-lulua |
| language: |
| - es |
| - lua |
| library_name: transformers |
| pipeline_tag: translation |
| --- |
| |
| # WindyWord.ai Translation — Spanish → Luba-Lulua |
|
|
| **Translates Spanish → Luba-Lulua.** |
|
|
| **Quality Rating: ⭐⭐½ (2.5★ Basic)** |
|
|
| Part of the [WindyWord.ai](https://windyword.ai) translation fleet — 1,800+ proprietary language pairs. |
|
|
| ## Quality & Pricing Tier |
|
|
| - **5-star rating:** 2.5★ ⭐⭐½ |
| - **Tier:** Basic |
| - **Composite score:** 51.1 / 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. | |
|
|
| ### Quick usage |
|
|
| **Transformers (PyTorch):** |
| ```python |
| from transformers import MarianMTModel, MarianTokenizer |
| tokenizer = MarianTokenizer.from_pretrained("WindyWord/translate-es-lua", subfolder="lora") |
| model = MarianMTModel.from_pretrained("WindyWord/translate-es-lua", subfolder="lora") |
| ``` |
|
|
| **CTranslate2 (fast CPU inference):** |
| ```python |
| import ctranslate2 |
| translator = ctranslate2.Translator("path/to/translate-es-lua/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](https://windyword.ai) for apps and commercial API access. |
|
|
| --- |
|
|
| ## Provenance & License |
|
|
| Weights derived from the OPUS-MT project ([Helsinki-NLP/opus-mt-es-lua](https://huggingface.co/Helsinki-NLP/opus-mt-es-lua)) 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).* |
| *Patient file: [clinic record](https://github.com/sneakyfree/Windy-Clinic/blob/main/translation-pairs/es-lua.json)* |
|
|
