Translation
Transformers
Safetensors
English
marian
windyword
romance-languages
italian
spanish
portuguese
french
catalan
romanian
english
Instructions to use WindstormLabs/translate-ROMANCE-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ROMANCE-en 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="WindstormLabs/translate-ROMANCE-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ROMANCE-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 2,672 Bytes
6a04a4e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 | ---
license: cc-by-4.0
tags:
- translation
- marian
- windyword
- romance-languages
- italian
- spanish
- portuguese
- french
- catalan
- romanian
- english
language:
- en
library_name: transformers
pipeline_tag: translation
---
# WindyWord.ai Translation β Romance languages β English
**Translates Romance languages (Italian, Spanish, Portuguese, French, Catalan, Romanian) β English.**
**Quality Rating: ββΒ½ (2.5β
Basic)**
Part of the [WindyWord.ai](https://windyword.ai) translation fleet β 1,800+ proprietary language pairs.
## Quality & Pricing Tier
- **5-star rating:** 2.5β
ββΒ½
- **Tier:** Basic
- **Composite score:** 51.8 / 100
- **Rated via:** Grand Rounds v2 β 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** β our proprietary production baseline. Stable, reliable, optimized for GPU inference. |
| `lora-ct2-int8/` | **WindyStandard Β· CPU INT8** β CTranslate2 quantized version of WindyStandard. ~25% of the size, 2β4Γ faster on CPU, no measurable quality loss. |
### Quick usage
**Transformers (PyTorch):**
```python
from transformers import MarianMTModel, MarianTokenizer
tokenizer = MarianTokenizer.from_pretrained("WindyWord/translate-ROMANCE-en", subfolder="lora")
model = MarianMTModel.from_pretrained("WindyWord/translate-ROMANCE-en", subfolder="lora")
```
**CTranslate2 (fast CPU inference):**
```python
import ctranslate2
translator = ctranslate2.Translator("path/to/translate-ROMANCE-en/lora-ct2-int8")
```
## Commercial Use
The WindyWord.ai platform provides:
- **Mobile apps** (iOS, Android β 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-ROMANCE-en](https://huggingface.co/Helsinki-NLP/opus-mt-ROMANCE-en)) 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 β 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/ROMANCE-en.json)*
|