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
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README.md
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### Model Description
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- **Developed by:** [Bajiyo Baiju](https://huggingface.co/Bajiyo), [Kavya Manohar](https://huggingface.co/kavyamanohar), [Leena G Pillai](https://huggingface.co/leenag)
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- **Language(s) (NLP):** Malayalam
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- **License:** MIT
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- Developed as a shared task submission to [INDONLP Workshop](https://indonlp-workshop.github.io/IndoNLP-Workshop/) at [COLING 2025](https://coling2025.org//), Abu Dhabi.
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### Model Description
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- **Developed by:** [Bajiyo Baiju](https://huggingface.co/Bajiyo), [Kavya Manohar](https://huggingface.co/kavyamanohar), [Leena G Pillai](https://huggingface.co/leenag), [ELizabeth Sherly](https://huggingface.co/SherlyE)
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- **Language(s) (NLP):** Malayalam
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- **License:** MIT
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- Developed as a shared task submission to [INDONLP Workshop](https://indonlp-workshop.github.io/IndoNLP-Workshop/) at [COLING 2025](https://coling2025.org//), Abu Dhabi.
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