Transformers
PyTorch
Safetensors
English
Korean
mt5
text2text-generation
transliteration
multilingual
Instructions to use eunsour/en-ko-transliterator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eunsour/en-ko-transliterator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("eunsour/en-ko-transliterator") model = AutoModelForSeq2SeqLM.from_pretrained("eunsour/en-ko-transliterator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1836b6314d6d379155899a0d669deba433b130fa119e07b3e363f841e3722217
- Size of remote file:
- 3.18 kB
- SHA256:
- cf735a4b75790cd6a066dd3e796be296ce1ec720bb7343b230306f8ef4ccd662
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