Instructions to use Helsinki-NLP/opus-mt-ru-eu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-ru-eu 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-eu")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ru-eu") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-ru-eu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc80f37aa9f66daaa3837c81b00a072aadfb91c1401066c25a55ec7344b25e09
- Size of remote file:
- 194 MB
- SHA256:
- 1ef682c4adba1a6eb122abe48135bcdb9598dd6dd307fed48493945df4620dd9
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