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WindyWord/translate-lua-es

sourceHugging Facecc-by-4.0updated 5mo agoView on Hugging Face
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WindyWord.ai Translation — Luba-Lulua → Spanish

Translates Luba-Lulua → Spanish.

Quality Rating: ⭐⭐½ (2.5★ Basic)

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

Quality & Pricing Tier

  • 5-star rating: 2.5★ ⭐⭐½
  • Tier: Basic
  • Composite score: 51.2 / 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:

VariantDescription
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-lua-es", subfolder="lora")
model = MarianMTModel.from_pretrained("WindyWord/translate-lua-es", subfolder="lora")

CTranslate2 (fast CPU inference):

python
import ctranslate2
translator = ctranslate2.Translator("path/to/translate-lua-es/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.


Provenance & License

Weights derived from the OPUS-MT project (Helsinki-NLP/opus-mt-lua-es) 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](https://github.com/sneakyfree/Windy-Clinic/blob/main/translation-pairs/lua-es.json)