Translation
Transformers
PyTorch
TensorFlow
Safetensors
English
Korean
marian
text2text-generation
opus-mt-tc
Eval Results (legacy)
Instructions to use Helsinki-NLP/opus-mt-tc-big-en-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-tc-big-en-ko 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="Helsinki-NLP/opus-mt-tc-big-en-ko")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-big-en-ko") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tc-big-en-ko") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc9dcf99381665406e0eb874043259fbcd187b28f71f4a1c7447f2709ca94ce8
- Size of remote file:
- 845 MB
- SHA256:
- b2c10136e7fcc0381f2dbe901781b17455e5b40e8388ba1f128fcb4d66e74415
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