Instructions to use Helsinki-NLP/opus-mt-tl-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-tl-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-tl-de")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tl-de") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tl-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07b27eddef23b388052704a37e3564d427d63bde008327f02c34c6217ed2aab1
- Size of remote file:
- 303 MB
- SHA256:
- dc2877a8e09ac7653ec5872d801483d21de9699c0092f835f722b99d988ba546
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