Instructions to use Helsinki-NLP/opus-mt-fr-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-fr-de 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="Helsinki-NLP/opus-mt-fr-de")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-fr-de") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-fr-de") - Notebooks
- Google Colab
- Kaggle
Rust model integration
#3
by flutter-painter - opened
Since the rust model is already available I gather hugging face candle is not necessary to use this in a rust project.
Yet how should this model be loaded ? Is torch mandatory ?
Could you please point me to an example or a resource.
Excuse the newbieness,