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:
- eca3247e8ccf126d862d99f293617bec063da59c01fa53726a4d832962b2cf2e
- Size of remote file:
- 2.33 GB
- SHA256:
- 0faeaac640acfbea45bb5118d736f9d1f1b43956b338197cc8661db7eed10afd
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