Instructions to use Helsinki-NLP/opus-mt-lus-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-lus-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-lus-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-lus-fr") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-lus-fr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a77b7cb464b1566bacb19c36b3eead02e0b5df786b0a73435e0c000a9218f95
- Size of remote file:
- 288 MB
- SHA256:
- 028b26b4bd0b20fb52f79f89eb1268fc201d091091a0835215a11bfad203dd27
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