Instructions to use Helsinki-NLP/opus-mt-ru-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-ru-eo 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-eo")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ru-eo") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-ru-eo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b0ff5d959547d24f5c3669100d5af1f77412e97e972a5a41e800ec00cc2159f
- Size of remote file:
- 195 MB
- SHA256:
- 27b023f4db31ce72d9ef3068b258d53be07b6c3d9b36abf519f9ed42a23b9f5e
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