Instructions to use Helsinki-NLP/opus-mt-eo-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-eo-ru 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-eo-ru")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-eo-ru") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-eo-ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2562b1e4cfc574aee336d37a7d549dfa1367122770847777307d8a7448bd8a8
- Size of remote file:
- 195 MB
- SHA256:
- edfa60cc62ccc88da7abe4049aebb9d661a54be3cfc54830155f3c31f8676085
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