Instructions to use vrclc/transliteration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use vrclc/transliteration with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("vrclc/transliteration") - Notebooks
- Google Colab
- Kaggle
Create README.md
Browse files
README.md
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---
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license: mit
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datasets:
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- vrclc/dakshina-lexicons-ml
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- vrclc/Dakshina-romanized-ml
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- vrclc/Aksharantar-ml
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language:
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- ml
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metrics:
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- cer
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- wer
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- bleu
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pipeline_tag: text2text-generation
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---
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