Instructions to use Helsinki-NLP/opus-mt-af-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-af-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-af-de")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-af-de") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-af-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5feb6c02043f17d7c8ba8d1496a0cad50da9118fe68f2b703583ff27f24d5c59
- Size of remote file:
- 299 MB
- SHA256:
- ebaed3e5792e4ccd7c9811be8656fd18f4ce0fc2fe5a0d2e71b74bde0e8201bc
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