Instructions to use WindstormLabs/translate-tcbig-bible_inc-deu_eng_nld with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-tcbig-bible_inc-deu_eng_nld 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-tcbig-bible_inc-deu_eng_nld")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-tcbig-bible_inc-deu_eng_nld", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download README.md from WindstormLabs/translate-tcbig-bible_inc-deu_eng_nld: direct link, hf CLI and curl.
- Browser
- Download file 2.24 kB
-
https://huggingface.co/WindstormLabs/translate-tcbig-bible_inc-deu_eng_nld/resolve/main/README.md
- Command line
-
hf download hf://WindstormLabs/translate-tcbig-bible_inc-deu_eng_nld/README.md
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curl -L -o README.md https://huggingface.co/WindstormLabs/translate-tcbig-bible_inc-deu_eng_nld/resolve/main/README.md
license: apache-2.0
tags:
- translation
- marian
- windyword
- indo-aryan
- hindi
- bengali
- urdu
- gujarati
- marathi
- punjabi
- german-english-dutch
- german
- english
- dutch
language:
- inc
- deu
- eng
- nld
library_name: transformers
pipeline_tag: translation
base_model: Helsinki-NLP/opus-mt-tc-bible-big-inc-deu_eng_nld
WindyWord.ai Translation — Indo-Aryan → German/English/Dutch
Part of the Windstorm Labs open model catalogue. Scores, licence and attribution for every model: https://windytranslate.com/models/translate-tcbig-bible_inc-deu_eng_nld
Canonical copy: https://huggingface.co/WindyTranslate/translate-tcbig-bible_inc-deu_eng_nld
Translates Indo-Aryan (Hindi, Bengali, Urdu, Gujarati, Marathi, Punjabi) → German / English / Dutch.
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 — production baseline. Transformers format for GPU inference. |
lora-ct2-int8/ |
WindyStandard · CPU INT8 — CTranslate2 INT8 quantization of WindyStandard for CPU inference. |
Quick usage
Transformers (PyTorch):
from transformers import MarianMTModel, MarianTokenizer
tokenizer = MarianTokenizer.from_pretrained("WindstormLabs/translate-tcbig-bible_inc-deu_eng_nld", subfolder="lora")
model = MarianMTModel.from_pretrained("WindstormLabs/translate-tcbig-bible_inc-deu_eng_nld", subfolder="lora")
CTranslate2 (fast CPU inference):
import ctranslate2
translator = ctranslate2.Translator("path/to/translate-tcbig-bible_inc-deu_eng_nld/lora-ct2-int8")
Apps
The Windy Word apps are built on this model family.
Provenance & License
Weights derived from Helsinki-NLP/opus-mt-tc-bible-big-inc-deu_eng_nld (OPUS-MT, Helsinki-NLP, University of Helsinki), licensed Apache-2.0. Windy variants are released under the same licence.