Translation
Transformers
PyTorch
TensorFlow
Swedish
Zande (individual language)
marian
text2text-generation
Instructions to use Helsinki-NLP/opus-mt-sv-zne with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-sv-zne 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-sv-zne")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-sv-zne") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-sv-zne") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76247e605ff90d7c46a1ae8ca5ce11064c424aee277b8c1dcd2f68ec975152fb
- Size of remote file:
- 288 MB
- SHA256:
- 96b8b4d46c821edb4863cf913471b4ad5bb635272d1bd95a37ee5b63b54b785d
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