Instructions to use WindyWord/translate-tr-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-tr-eo 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-tr-eo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-tr-eo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
WindyWord.ai Translation β Turkish β Esperanto
Part of the Windstorm Labs open model catalogue. Scores, licence and attribution for every model: https://windytranslate.com/models/translate-tr-eo
Canonical copy: https://huggingface.co/WindyTranslate/translate-tr-eo
Licence under review: trained on the eBible corpus, which includes translations under non-commercial / no-derivatives terms. Not for commercial use until this notice is removed.
This applies to the WindyScripture variants in this repository (
herm0-scripture/,scripture-ct2-int8/). The other variants are derived from the upstream model under its licence, shown in the Provenance & License section below.
Translates Turkish 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. |
lora-ct2-int8/ |
WindyStandard Β· CPU INT8 β CTranslate2 INT8 quantization of WindyStandard for CPU inference. |
herm0-scripture/ |
WindyScripture β verse-aligned fine-tune on the eBible parallel corpus. Specialised for biblical text; not recommended for general translation. Licence under review β see notice above. |
scripture-ct2-int8/ |
WindyScripture Β· CPU INT8 β CTranslate2 INT8 quantization of WindyScripture. Licence under review β see notice above. |
Quick usage
Transformers (PyTorch):
from transformers import MarianMTModel, MarianTokenizer
tokenizer = MarianTokenizer.from_pretrained("WindyWord/translate-tr-eo", subfolder="lora")
model = MarianMTModel.from_pretrained("WindyWord/translate-tr-eo", subfolder="lora")
CTranslate2 (fast CPU inference):
import ctranslate2
translator = ctranslate2.Translator("path/to/translate-tr-eo/lora-ct2-int8")
Apps
The Windy Word apps are built on this model family.
Provenance & License
Weights derived from Helsinki-NLP/opus-mt-tr-eo (OPUS-MT, Helsinki-NLP, University of Helsinki), licensed Apache-2.0. Windy variants are released under the same licence.
Exception: the WindyScripture variants (herm0-scripture/, scripture-ct2-int8/) are under licence review β see the notice at the top of this card. Not for commercial use until that notice is removed.
Model tree for WindyWord/translate-tr-eo
Base model
Helsinki-NLP/opus-mt-tr-eo