Instructions to use WindyTranslate/translate-af-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-af-fi 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="WindyTranslate/translate-af-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyTranslate/translate-af-fi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
WindyWord.ai Translation β Afrikaans β Finnish
Part of the Windstorm Labs open model catalogue. Scores, licence and attribution for every model: https://windytranslate.com/models/translate-af-fi
Translates Afrikaans β Finnish.
Evaluation
| Benchmark | chrF++ | BLEU | Band |
|---|---|---|---|
| FLORES-200 dev, 48 sentences (Afrikaans β Finnish) | 41.05 | 11.75 | Usable |
Measured 2026-08-04; screening score, not a publication result. Bands: Excellent β₯60, Good 45β60, Usable 30β45, Limited 15β30, Not recommended <15 (chrF++).
Available Variants
Deployment formats in this repository (subfolders):
| Variant | Description |
|---|---|
lora/ |
WindyStandard β production baseline. Transformers format for GPU inference. |
lora-ct2-int8/ |
WindyStandard Β· CPU INT8 β CTranslate2 INT8 quantization of WindyStandard for CPU inference. |
herm0/ |
WindyEnhanced β further fine-tuned on the OPUS-100, Tatoeba and WikiMatrix parallel corpora. |
herm0-ct2-int8/ |
WindyEnhanced Β· CPU INT8 β CTranslate2 INT8 quantization of WindyEnhanced. |
Quick usage
Transformers (PyTorch):
from transformers import MarianMTModel, MarianTokenizer
tokenizer = MarianTokenizer.from_pretrained("WindyTranslate/translate-af-fi", subfolder="lora")
model = MarianMTModel.from_pretrained("WindyTranslate/translate-af-fi", subfolder="lora")
CTranslate2 (fast CPU inference):
import ctranslate2
translator = ctranslate2.Translator("path/to/translate-af-fi/lora-ct2-int8")
Apps
The Windy Word apps are built on this model family.
Provenance & License
Weights derived from Helsinki-NLP/opus-mt-af-fi (OPUS-MT, Helsinki-NLP, University of Helsinki), licensed Apache-2.0. Windy variants are released under the same licence.
Model tree for WindyTranslate/translate-af-fi
Base model
Helsinki-NLP/opus-mt-af-fi