Instructions to use raphaelmerx/ko-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raphaelmerx/ko-en with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="raphaelmerx/ko-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("raphaelmerx/ko-en") model = AutoModelForSeq2SeqLM.from_pretrained("raphaelmerx/ko-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a06cf15e4a202fcd66c17dc8885a35f1caf12d714bffbdc1fe731b3fa7de7077
- Size of remote file:
- 820 kB
- SHA256:
- b3306bd45c665df899441788138d4735094d22cf3027dd81d71bb4f36d012d3f
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