Translation
Transformers
PyTorch
TensorFlow
Zande (individual language)
Swedish
marian
text2text-generation
Instructions to use Helsinki-NLP/opus-mt-zne-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-zne-sv 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-zne-sv")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-zne-sv") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-zne-sv") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8da9ba66df9417573662cec7f6f6eddf13c48bc765c53c841ed0f9131a2b140
- Size of remote file:
- 288 MB
- SHA256:
- b9f5a5e41e2fb8187ac76c8b825ec373e4c1044ec9fb25cef865eb71722096a6
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