Translation
Transformers
PyTorch
TensorFlow
Zande (individual language)
Spanish
marian
text2text-generation
Instructions to use Helsinki-NLP/opus-mt-zne-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-zne-es 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-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-zne-es") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-zne-es") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fcf8ba4b25cc1eefee3ac4cbe7b295c48197dca3f7631e0d885ae5bf9b1706ca
- Size of remote file:
- 289 MB
- SHA256:
- 94ed6ff8e0b8deb0b43c6a6d53699ab457d964617e19986523103bd15b96f5b3
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