Instructions to use lycaoduong/ko2vn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lycaoduong/ko2vn with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lycaoduong/ko2vn") model = AutoModelForSeq2SeqLM.from_pretrained("lycaoduong/ko2vn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Verified signature# Ko-Vi-Translate-Machine This project creates a machine learning model to translate Korean into Vietnamese for certain tasks. This is a project that goes from zero to product.  ## For some personal reasons, we cannot provide training data.  ## After running ads on Facebook for about $20 within 3 days, we had nearly 600 translations during that period.2b7020e -
Update README.md
Verified signature# Ko-Vi-Translate-Machine This project creates a machine learning model to translate Korean into Vietnamese for certain tasks. This is a project that goes from zero to product.  ## For some personal reasons, we cannot provide training data.  ## After running ads on Facebook for about $20 within 3 days, we had nearly 600 translations during that period.afeb074
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