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translate-es-eo
WindyWord/translate-es-eo
translate-es-eo is a translation model from WindyWord. Use it when you need text moved from one language to another. It is set up for transformers. The card lists the license as cc-by-4.0.
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Public
Updated Apr 20, 2026
Repo size
747 MB
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At a glance
- Task
- Translation
- Library
- transformers
- License
- cc-by-4.0
- Access
- Public
- Created
- Apr 17, 2026
- Updated
- Apr 20, 2026
- SHA
- efe03cd0
Try a prompt
Model card
From the Hugging Face model README
WindyWord.ai Translation — Spanish → Esperanto
Translates Spanish → Esperanto.
Quality Rating: ⭐⭐⭐⭐⭐ (5.0★ Premium)
Part of the WindyWord.ai translation fleet — 1,800+ proprietary language pairs.
Quality & Pricing Tier
- 5-star rating: 5.0★ ⭐⭐⭐⭐⭐
- Tier: Premium
- Composite score: 91.5 / 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-es-eo", subfolder="lora")
model = MarianMTModel.from_pretrained("WindyWord/translate-es-eo", subfolder="lora")
CTranslate2 (fast CPU inference):
import ctranslate2
translator = ctranslate2.Translator("path/to/translate-es-eo/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-es-eo) 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
- Task
- Translation
- Library
- transformers
- License
- cc-by-4.0
- Languages
- es, eo
- Created
- Apr 17, 2026
- Updated
- Apr 20, 2026