Instructions to use Helsinki-NLP/opus-mt-ru-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-ru-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-ru-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ru-fr") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-ru-fr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1405605303f76e91d68feddab9f4b93195743b6b412f011bc1ec33fb95adf12
- Size of remote file:
- 309 MB
- SHA256:
- 99f0f6d52e20e7103fedc1b72e35b4724c49aea818db85ce99e606b9ed78ec21
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