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license: cc-by-4.0
tags:
- translation
- marian
- windyword
- turkish
- esperanto
language:
- tr
- eo
library_name: transformers
pipeline_tag: translation
---
# WindyWord.ai Translation — Turkish → Esperanto
**Translates Turkish → Esperanto.**
**Quality Rating: ⭐⭐⭐⭐ (4.0★ Standard)**
Part of the [WindyWord.ai](https://windyword.ai) translation fleet — 1,800+ proprietary language pairs.
## Quality & Pricing Tier
- **5-star rating:** 4.0★ ⭐⭐⭐⭐
- **Tier:** Standard
- **Composite score:** 74.4 / 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):**
```python
from transformers import MarianMTModel, MarianTokenizer
tokenizer = MarianTokenizer.from_pretrained("WindyWord/translate-tr-eo", subfolder="lora")
model = MarianMTModel.from_pretrained("WindyWord/translate-tr-eo", subfolder="lora")
```
**CTranslate2 (fast CPU inference):**
```python
import ctranslate2
translator = ctranslate2.Translator("path/to/translate-tr-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](https://windyword.ai) for apps and commercial API access.
---
## Provenance & License
Weights derived from the OPUS-MT project ([Helsinki-NLP/opus-mt-tr-eo](https://huggingface.co/Helsinki-NLP/opus-mt-tr-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](https://github.com/sneakyfree/Windy-Clinic/blob/main/translation-pairs/tr-eo.json)*
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