Instructions to use Helsinki-NLP/opus-mt-de-mt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-de-mt 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-mt")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-de-mt") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-de-mt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5083f74d7836c2ea645bac7fb97a7c82f2a41ab4f2e8ba3a7d18dc12f7809ed1
- Size of remote file:
- 298 MB
- SHA256:
- 8ae37d4681d154615bda2a522588235862ef44d4fe414b78555d8f7fdac0dbaa
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