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
Download source.spm from kubataba/ru-kbd-bidirectional: direct link, hf CLI and curl.
- Browser
- Download file 1.03 MB
-
https://huggingface.co/kubataba/ru-kbd-bidirectional/resolve/main/source.spm
- Command line
-
hf download hf://kubataba/ru-kbd-bidirectional/source.spm
-
curl -L -o source.spm https://huggingface.co/kubataba/ru-kbd-bidirectional/resolve/main/source.spm
1.03 MB
- Xet hash:
- e8e5b5e56361558334328076a8b8f35c5d7dfd8cb3ac026a9d32ede779e00c25
- Size of remote file:
- 1.03 MB
- SHA256:
- b29ab2435556f97b4362456cad0ca8aba90e0f905883aae94a72a7ed883ef27d
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