Instructions to use WindyWord/translate-eo-cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-eo-cs with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="WindyWord/translate-eo-cs")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-eo-cs", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Refresh README with updated variant naming and language labels
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README.md
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tags:
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- translation
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- marian
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- opus-mt
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- windyword
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language:
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- eo
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pipeline_tag: translation
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---
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# WindyWord.ai Translation —
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**Quality Rating: ⭐⭐⭐⭐⭐ (5.0★ Gold standard)**
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| Variant | Description |
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| `herm0/` |
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| `herm0-ct2-int8/` |
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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-eo-cs", subfolder="
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model = MarianMTModel.from_pretrained("WindyWord/translate-eo-cs", subfolder="
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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-eo-cs/
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```
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## Attribution
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Derived from [Helsinki-NLP/opus-mt-eo-cs](https://huggingface.co/Helsinki-NLP/opus-mt-eo-cs) (Helsinki-NLP OPUS-MT project, CC-BY-4.0).
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Proprietary variants created by the WindyWord.ai team:
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- **lora/**: Fog-of-mirror LoRA fine-tune (r=4, α=8) — legally distinct, quality-preserved
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- **herm0/**: OPUS-100/Tatoeba/WikiMatrix deep fine-tune (if available) — measurably improved
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- **herm0-scripture/**: eBible verse-aligned fine-tune (for 292 scripture pairs)
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## Commercial Use
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The WindyWord.ai platform provides:
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Visit [windyword.ai](https://windyword.ai) for apps and commercial API access.
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*Patient file: [clinic record](https://github.com/sneakyfree/Windy-Clinic/blob/main/translation-pairs/eo-cs.json)*
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tags:
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- translation
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- marian
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- windyword
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language:
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- eo
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pipeline_tag: translation
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---
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# WindyWord.ai Translation — Esperanto → Czech
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**Quality Rating: ⭐⭐⭐⭐⭐ (5.0★ Gold standard)**
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| Variant | Description |
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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-eo-cs", subfolder="herm0")
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model = MarianMTModel.from_pretrained("WindyWord/translate-eo-cs", subfolder="herm0")
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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-eo-cs/herm0-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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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-eo-cs](https://huggingface.co/Helsinki-NLP/opus-mt-eo-cs)) 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/eo-cs.json)*
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