Instructions to use Helsinki-NLP/opus-mt-de-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-de-en 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-de-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-de-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-de-en", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d13f14f3baba73da9e85a8ec66ba96061951c01195d8720cf315d36781bf51ca
- Size of remote file:
- 298 MB
- SHA256:
- e743c3070f61f477cb62fe95ef2c9be2e77f3e488cb6b8030ff8a19e8295c87d
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