Instructions to use WindyWord/translate-en-mos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-en-mos 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-en-mos")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-en-mos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
WindyWord.ai Translation β English β Mossi
Part of the Windstorm Labs open model catalogue. Scores, licence and attribution for every model: https://windytranslate.com/models/translate-en-mos
Canonical copy: https://huggingface.co/WindyTranslate/translate-en-mos
Translates English β Mossi.
Quality
No quality score is published in this repository. Current screening scores, where measured, are on the catalogue page linked above.
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. |
Quick usage
Transformers (PyTorch):
from transformers import MarianMTModel, MarianTokenizer
tokenizer = MarianTokenizer.from_pretrained("WindyWord/translate-en-mos", subfolder="lora")
model = MarianMTModel.from_pretrained("WindyWord/translate-en-mos", subfolder="lora")
CTranslate2 (fast CPU inference):
import ctranslate2
translator = ctranslate2.Translator("path/to/translate-en-mos/lora-ct2-int8")
Apps
The Windy Word apps are built on this model family.
Provenance & License
Weights derived from Helsinki-NLP/opus-mt-en-mos (OPUS-MT, Helsinki-NLP, University of Helsinki), licensed Apache-2.0. Windy variants are released under the same licence.
Model tree for WindyWord/translate-en-mos
Base model
Helsinki-NLP/opus-mt-en-mos