Instructions to use DeepPavlov/marianmt-tatoeba-ruen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepPavlov/marianmt-tatoeba-ruen with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DeepPavlov/marianmt-tatoeba-ruen") model = AutoModelForSeq2SeqLM.from_pretrained("DeepPavlov/marianmt-tatoeba-ruen") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31a1ebbf871b0a47e9dc55a598146b9723e960c3bb52b09e425218e1b19128a7
- Size of remote file:
- 305 MB
- SHA256:
- 10c77cf86a2d20d5f0f63da8d6f4cedc1f5958d9c66cd4daf5c123748e284c2f
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