Translation
Transformers
PyTorch
TensorFlow
Finnish
Zande (individual language)
marian
text2text-generation
Instructions to use Helsinki-NLP/opus-mt-fi-zne with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-fi-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-fi-zne")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-fi-zne") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-fi-zne") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9c6fb9368408e016b9bd2aba787d879f61e9d40f1b5560297cce98cf4627340
- Size of remote file:
- 291 MB
- SHA256:
- 8913963190a27d36df9c841afb3011b4f2f1267f7de3ad1e57e5fce65ffcfcfc
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