Translation
Transformers
Safetensors
Russian
Kabardian
marian
text2text-generation
kabardian
circassian
low-resource
back-translation
Instructions to use kubataba/ru-kbd-bidirectional with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kubataba/ru-kbd-bidirectional 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="kubataba/ru-kbd-bidirectional")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kubataba/ru-kbd-bidirectional") model = AutoModelForSeq2SeqLM.from_pretrained("kubataba/ru-kbd-bidirectional", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
25 days ago
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Version 2: opus-mt-zle-zle base, corpus v2, re-translated synthetic data
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27 days ago
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Update README.md
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29 days ago
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Card: trained on v1 of both synthetic corpora; v2 is the default now
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30 days ago
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README: list all source datasets in the metadata
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README: links to the adiga-ai datasets in the attribution
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Russian <-> Kabardian bidirectional MarianMT (stage 5)
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initial commit
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