Translation
Transformers
PyTorch
English
German
marian
text2text-generation
opus-mt
Eval Results (legacy)
Instructions to use silsever/opus-mt-align-en-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use silsever/opus-mt-align-en-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="silsever/opus-mt-align-en-de")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("silsever/opus-mt-align-en-de") model = AutoModelForSeq2SeqLM.from_pretrained("silsever/opus-mt-align-en-de") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 1 year ago
by
SFconvertbot