Translation
Transformers
PyTorch
TensorFlow
Zande (individual language)
French
marian
text2text-generation
Instructions to use Helsinki-NLP/opus-mt-zne-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-zne-fr 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-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-zne-fr") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-zne-fr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a83b81c796642fd5eb3ac5e51b2663ee5310cfeb76f4c2cd301375335cb5f2eb
- Size of remote file:
- 289 MB
- SHA256:
- 62281c89cf5247de673554c3b101ead6a7e682a08e8cb918140f7e88e6fb0ab8
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