How to use from the
Use from the
Transformers library
# 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-sh-eo")
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("WindyWord/translate-sh-eo", device_map="auto")
Quick Links

WindyWord.ai Translation β€” Serbo-Croatian (historical, now Bosnian/Croatian/Serbian) β†’ Esperanto

Part of the Windstorm Labs open model catalogue. Scores, licence and attribution for every model: https://windytranslate.com/models/translate-sh-eo

Canonical copy: https://huggingface.co/WindyTranslate/translate-sh-eo

Translates Serbo-Croatian (historical, now Bosnian/Croatian/Serbian) β†’ Esperanto.

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.

Quick usage

Transformers (PyTorch):

from transformers import MarianMTModel, MarianTokenizer
tokenizer = MarianTokenizer.from_pretrained("WindyWord/translate-sh-eo", subfolder="lora")
model = MarianMTModel.from_pretrained("WindyWord/translate-sh-eo", subfolder="lora")

Apps

The Windy Word apps are built on this model family.


Provenance & License

Weights derived from Helsinki-NLP/opus-mt-sh-eo (OPUS-MT, Helsinki-NLP, University of Helsinki), licensed Apache-2.0. Windy variants are released under the same licence.

Licence text: LICENSE. Attribution: NOTICE.md.

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